Careers

Senior Databricks and AI Engineer

We are looking for an experienced Databricks AI engineer to join our team in Pune India.

Job Summary:

We are seeking a highly experienced Senior Databricks and AI Engineer to join our growing data engineering team. The ideal candidate will have a proven track record in designing, building, and deploying scalable data solutions on the Databricks platform. A critical requirement for this role is demonstrated experience in migrating and modernizing SQL Server environments to Databricks, including data transformation, performance optimization, and ensuring data integrity. This role will also involve developing and implementing AI/ML solutions leveraging Databricks capabilities.

Key Responsibilities:

1. Databricks Platform Expertise

  • Design, develop, and maintain robust, scalable ETL/ELT pipelines on Databricks using Spark, Python, Scala, and SQL.
  • Optimize Databricks cluster performance, job execution, and cost efficiency.
  • Implement data governance, security, and access control best practices on the Databricks Lakehouse.
  • Work with Delta Lake, Delta Live Tables, and other Databricks data management features.

2. SQL Server to Databricks Migration

  • Lead and execute the migration of data and workloads from on-premises SQL Server databases to the Databricks Lakehouse.
  • Develop strategies for schema conversion, data ingestion, and transformation from SQL Server to Delta Lake format.
  • Identify and implement performance tuning strategies for migrated SQL workloads on Databricks.
  • Ensure data accuracy, consistency, and completeness throughout the migration process.
  • Develop and execute comprehensive testing plans to validate migrated data and functionality.

3. AI/ML Development

  • Collaborate with data scientists and stakeholders to operationalize AI/ML models on Databricks.
  • Develop and deploy machine learning pipelines, including data preprocessing, feature engineering, model training, and inference.
  • Utilize Databricks MLflow for experiment tracking, model management, and deployment.
  • Explore and implement advanced AI/ML techniques relevant to business needs.

4. Collaboration and Leadership

  • Mentor junior engineers and contribute to the team's technical growth.
  • Work closely with data architects, data scientists, analysts, and business stakeholders to understand requirements and deliver solutions.
  • Provide technical guidance and documentation for data engineering processes and solutions.
  • Troubleshoot and resolve complex data-related issues.

5. Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field.
  • 5+ years of experience in data engineering, with a strong focus on cloud-based data platforms.
  • Mandatory: Proven, hands-on experience migrating complex SQL Server environments to cloud-based data warehouses or lake houses, specifically Databricks.
  • Mandatory: Deep expertise in Databricks platform, including Spark, Delta Lake, SQL Analytics, and Databricks Runtime.
  • Proficiency in programming languages such as Python and SQL. Experience with Scala is a plus.
  • Strong understanding of data warehousing concepts, data modeling, ETL/ELT best practices, and database performance tuning.
  • Experience with AI/ML workflows, MLOps, and tools like MLflow.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and their data services.
  • Excellent problem-solving, analytical, and communication skills.
  • Ability to work independently and collaboratively in a fast-paced environment.

6. Preferred Skills

  • Databricks certifications.
  • Experience with containerization technologies (Docker, Kubernetes).
  • Knowledge of other database technologies.
  • Experience with CI/CD practices for data pipelines.

Please send your resumes to resume@visulon.com.

AI Engineer to work on Agent Architecture and Orchestration

A stealth mode startup working on Agentic SaaS solution is looking for an AI engineer. We hire on demonstrated depth, not years - the level you join at is determined through our interview process.

Agent architecture & orchestration
  • Design and implement agentic systems capable of multi-step reasoning, planning, tool use, and workflow execution for a B2b operational processes.
  • Build stateful workflows using frameworks such as LangGraph and LangChain - including branching, retries, self-correction, human-in-the-loop checkpoints, and reusable orchestration patterns.
  • Engineer for long-horizon reliability - multi-step task completion, recovery from compounding errors, planning under uncertainty, and robust tool use when individual steps fail.
Retrieval, grounding & context engineering
  • Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual compression, and grounding strategies.
  • Engineer memory and context management - conversational state, persistent memory, retrieval-aware context assembly, and token-efficient context selection.
  • Apply modern context-delivery patterns (e.g., MCP-style tool/context interfaces) so agents access the right information at the right time.
Reliability, evaluation & safety
  • Implement observability and tracing for prompts, tool calls, retrieval quality, agent traces, failures, drift, latency, and production behavior.
  • Apply guardrails, safety controls, and failure-handling to reduce hallucinations and unsafe actions.
  • Evaluate agents at the trajectory and task level - multi-step task success, failure-mode and regression analysis, and sandboxed test environments - alongside retrieval- and generation-quality metrics, automated checks, and human review.
Integration & production craft
  • Build integrations with internal and external tools, APIs, enterprise systems, databases, and model providers so agents operate safely within real business workflows.
  • Deliver production-quality code with strong practices in testing, CI/CD, logging, versioning, and documentation; make architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Demonstrated depth building and shipping production agentic systems - this is your primary experience, not a recent exploration, strong software/ML fundamentals plus substantial, recent hands-on agentic work.
  • Strong, hands-on experience building production agent systems with modern orchestration - LangGraph/LangChain or equivalent, including custom orchestration.
  • Experience designing and optimizing end-to-end RAG systems: indexing, retrieval, reranking, grounding, and evaluation.
  • Strong understanding of memory and context management, including context windows, retrieval-driven context assembly, persistent memory, and high-signal context selection.
  • Deep, practical understanding of LLM behavior - strengths, limitations, hallucination risks, reasoning constraints, and latency/cost trade-offs - and the evaluation methods used to measure them.
  • Experience evaluating and debugging agent behavior - task-success and trajectory analysis, not just output quality.
  • Strong Python engineering skills and modern software practices: testing, CI/CD, version control, and API integration; experience implementing observability, tracing, and debugging for LLM-based systems in production.
  • Hands-on experience with at least one frontier model platform (e.g., Anthropic, Google, OpenAI) and/or open-weight/self-hosted models (e.g., Llama via vLLM), including production tool use and agent capabilities.
Preferred qualifications
  • Experience with multi-agent systems and agent collaboration patterns.
  • Familiarity with vector databases and retrieval infrastructure such as Pinecone, Weaviate, or Milvus.
  • Exposure to model adaptation and fine-tuning techniques such as LoRA or QLoRA.
  • Understanding of traditional NLP concepts: tokenization, semantic similarity, entity extraction, summarization, and transformer fundamentals.
  • Bachelor's degree in Computer Science, Engineering, Data Science, Computational Linguistics, or a related field.

Please send your resumes to resume@visulon.com.

Business Manager (Non-IT, Non QA)

If you are looking for IT job, this is not it.

Visulon is looking for a smart Business Manager who has background in managing Non-IT projects.

You will need self motivation and understanding of various systems in India, including ROC, MCA, business registrations, legal support, bank account setups, complete understanding of bank processes, real estate dealings, franchising, and implementing best practices to achieve best productivity. You should be able to handle communications, connections, online meeting scheduling, travel, familiarity with insurance, PF, recruiting agents.

The person has to be a self starter, innovative, understands how to assume responsibility to get things done. Min 2 years experience dealing with business management requirements.

Please send your resumes to intern@visulon.com.

Software SaaS Platform Jr. SDR (Sales Development Representative)

Role Description

This is a Junior role (one year sales experience in software selling is adequate).

We are looking for individuals interested in selling products, rather than software services  (staffing model).
This is a full-time role for an AI Product Platform SDR. The AI Product Platform SDR will be responsible for identifying and qualifying potential customers, conducting outreach, managing and nurturing leads. The candidate will work closely with the sales and marketing teams to align strategies, assist in the development of sales materials, and report on lead generation activities.

Qualifications:
  • This is a Junior role (one year sales experience in software selling is adequate).
  • Ability to understand our product offering, its technology and the use cases.
  • Excellent command on spoken English and ability to engage stakeholders in conversations.
  • Sales skills including lead generation, prospecting, and customer outreach.
  • Experience in Sales Management and Operations.
  • Experience with CRM systems and sales tools.
  • Bachelor's degree in Business, Marketing, Communication, or a related field.
Requirements:
  • Fast learner
  • Has past experience in selling software products for U.S. region.
  • Able to speak fluent English.
  • Work until 2:30 am everyday, and create end of the day report.
  • Must know Apollo.io contact management software.

Please send your resumes to resume@visulon.com.

AI engineers expert in NLP, Neural Network and Machine Learning for Indic script translation

We are looking for AI engineers to work indic language translations project which requires at least one year of hands-on experience NLP and in many different sub-areas of NLP including syntax and parsing, semantics and word sense disambiguation, machine translation, and build computational models for indic translations. You are also expected to be familiar with Nueral Networks, fine tuning of AI models on LLMs.

Please send your resumes to resume@visulon.com.

History Research intern for Foundation in Pune

We are looking for two interns to carry out guided research on a few historical documents. You will be having a degree in Arts from any Pune Colleges. Your inquisitive nature in uncovering hidden facts will be good for taking research work ahead. You will need to know how to do internet search, word processing in Marathi and use of Laptop.

You will get good salary for three to six month duration, nice office location, and company of well-known historians. Maaydesh Foundation is doing various projects on the Maratha History of last 400 years.

Please send your resumes to resume@visulon.com.