Associate Process Manager
- eClerx
- 4 - 8 years
- Pune
- 14 hours ago
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Job Description
We are seeking a highly skilled Automation AI Developer with 56 years of experience in building scalable automation solutions, backend systems, data pipelines, and Generative AI applications. The ideal candidate will have strong expertise in Python development, API integrations, databases, ETL processes, and modern AI technologies such as Large Language Models (LLMs), RAG, AI Agents, and Vector Databases.
The role involves designing and developing intelligent automation solutions, AI-powered applications, and enterprise-grade data workflows that drive operational efficiency and business insights. The candidate will work closely with solution architects, data engineers, and business stakeholders to deliver scalable, secure, and innovative AI-driven products and automation platforms.
Key Responsibilities
- Design, develop, and maintain scalable automation solutions, backend applications, and AI-powered systems.
- Build and manage RESTful APIs using Python frameworks such as FastAPI.
- Develop and optimize data pipelines, ETL processes, and data integration workflows.
- Design and implement Generative AI applications, including AI assistants, chatbots, copilots, and intelligent automation solutions.
- Develop and integrate Retrieval-Augmented Generation (RAG) frameworks, vector databases, and semantic search capabilities.
- Build AI Agent workflows using Tool Calling, Function Calling, and orchestration frameworks such as LangChain, LangGraph, or similar technologies.
- Integrate enterprise systems, third-party applications, and cloud services through APIs and automation frameworks.
- Design and manage relational, NoSQL, and vector database solutions to support AI and analytics applications.
- Implement caching mechanisms and performance optimization strategies using Redis or similar technologies.
- Perform data processing, analysis, and visualization using Python libraries such as Pandas, NumPy, and Plotly.
- Collaborate with Solution Architects, Data Engineers, Frontend Developers, and Business Stakeholders to deliver end-to-end AI and automation solutions.
- Ensure application scalability, security, reliability, and adherence to software engineering best practices.
- Conduct code reviews, testing, troubleshooting, and performance tuning to maintain high-quality deliverables.
- Stay current with emerging technologies in Generative AI, Agentic AI, Machine Learning, and cloud platforms, and recommend innovative solutions for business challenges.
- Contribute to technical documentation, architecture discussions, and continuous improvement initiatives.
- Strong hands-on experience with Python development.
- Advanced knowledge of SQL and database design principles.
- Experience developing and consuming REST APIs using FastAPI.
- Experience working with Redis or similar caching technologies.
- Hands-on experience with Vector Databases such as Pinecone, Chroma, Weaviate, or Milvus.
- Strong proficiency in Pandas, NumPy, Plotly, and related Python libraries.
- Basic understanding of Machine Learning concepts and associated libraries.
- Experience building or supporting Generative AI applications.
- Hands-on experience with Large Language Models (LLMs) such as GPT, Claude, Gemini, or open-source models.
- Experience implementing Retrieval-Augmented Generation (RAG) architectures.
- Experience with Tool Calling, Function Calling, and AI Agent workflows.
- Experience using AI frameworks such as LangChain, LangGraph, LlamaIndex, or similar.
- Knowledge of Prompt Engineering, context management, and AI application development best practices.
- Understanding of vector embeddings, semantic search, and knowledge retrieval systems.
- Knowledge of software engineering best practices, version control, and CI/CD pipelines.
- Experience with Model Context Protocol (MCP).
- Experience with ETL development and orchestration tools such as Apache Airflow.
- Familiarity with Agentic AI frameworks such as CrewAI, AutoGen, or similar.
- Experience developing conversational AI applications, AI assistants, or copilots.
- Knowledge of AI observability and monitoring tools such as LangSmith, Phoenix, or Weights & Biases.
- Familiarity with AI and cloud-native services on AWS, Azure, or GCP (Azure OpenAI, AWS Bedrock, Vertex AI).
- Exposure to Docker, Kubernetes, and cloud deployment practices.
- Understanding of MLOps, model deployment, and AI governance concepts.
Required Skills
Good to Have
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
- 56 years of experience in AI Development, Automation Engineering, Data Engineering, or AI Application Development.
- Experience delivering enterprise-scale automation, analytics, or AI transformation projects.
Strong analytical, problem-solving, and communication skills
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: DBA / Data warehousingRole: Database ManagerEmployement Type: Full timeContact Details:
Company: eClerxLocation(s): Pune
Keyskills: python development analytical api integration python development dbms numpy data pipeline data engineering sql application development pandas database design automation system application automation engineering backend design principles communication skills etl process
eClerx
eClerx is a data analytics service provider specializing in competitive intelligence and pricing optimization programs for a number of industries and derivative operations for the financial services market. With a proven track record of delivering world-class quality and innovation to FORTUNE 1000 c...
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