AIML +Lang chain/Lang graph at Wissen Technology · Mumbai · 5 - 13 years · Profitable · Posted 13 Oct 2026

Role Overview
We are looking for an experienced AI/ML Engineer with strong expertise in Python, Generative AI, LLMs, LangChain, and LangGraph. The candidate will be responsible for designing and developing AI-powered applications, intelligent agents, and scalable LLM-based solutions.
Key Responsibilities
- Design and develop AI/ML and Generative AI applications using Python and modern LLM technologies.
- Build LLM-based applications and AI agents using LangChain and LangGraph.
- Develop agentic workflows involving tool calling, memory, reasoning, and multi-step orchestration.
- Integrate LLMs such as OpenAI, Azure OpenAI, Anthropic, Gemini, or other foundation models.
- Develop RAG (Retrieval-Augmented Generation) pipelines using vector databases.
- Work with embeddings, prompt engineering, semantic search, and document processing.
- Develop scalable APIs and backend services using Python, FastAPI, or Flask.
- Build and integrate AI solutions with existing applications and enterprise systems.
- Deploy and maintain AI/ML solutions on cloud platforms.
- Collaborate with data scientists, software engineers, and product teams to develop business-focused AI solutions.
Required Skills
- Strong hands-on experience in Python programming.
- Strong experience in AI/ML and Generative AI.
- Hands-on experience with LLMs and LLM-based application development.
- Strong experience with LangChain and/or LangGraph.
- Experience building AI Agents / Agentic AI workflows.
- Strong understanding of RAG, embeddings, vector databases, and prompt engineering.
- Experience with vector databases such as FAISS, Pinecone, Chroma, Weaviate, or Azure AI Search.
- Experience developing REST APIs using FastAPI/Flask.
- Good understanding of Machine Learning, NLP, and deep learning concepts.
- Experience with Azure / AWS / GCP cloud platforms.
Good to Have
- Experience with multi-agent systems and agent orchestration.
- Knowledge of MLOps / LLMOps.
- Experience with Docker, Kubernetes, and CI/CD.
- Knowledge of LLM evaluation, monitoring, observability, and AI governance.
- Experience with Azure OpenAI, Azure AI Foundry, or AWS Bedrock.

About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
Connect with the team
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Role: Python + Agentic AI Engineer
We are looking for an experienced Python + Agentic AI Engineer with strong expertise in developing AI-powered applications and autonomous agent-based solutions.
Key Skills / Requirements:
• Strong hands-on experience in Python
• Experience with Agentic AI / AI Agents
• Hands-on with LangChain / LangGraph or similar agent frameworks
• Experience with Generative AI and LLMs
• Strong understanding of RAG (Retrieval-Augmented Generation) and Vector Databases
• Experience developing REST APIs using FastAPI
• Knowledge of Multi-Agent Systems, Tool/Function Calling and Agent Workflows
• Experience integrating LLMs with enterprise applications/APIs
• Exposure to cloud-based AI services is an advantage
Preferred Profile: Python Developer / AI Engineer / Generative AI Engineer / Agentic AI Engineer with hands-on experience building production-ready AI solutions.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Job Description:
We are looking for a hands-on AI Engineer with experience in Generative AI and Agentic AI to build and deploy production-ready AI solutions.
Key Responsibilities:
- Develop and deploy GenAI and Agentic AI applications.
- Build RAG pipelines, LLM workflows, and AI agents.
- Develop solutions using Python, LangChain, LangGraph, LlamaIndex, or similar frameworks.
- Implement tool calling, context retrieval, and LLM orchestration.
- Integrate AI solutions with APIs and cloud platforms.
- Work with AWS/Azure/GCP, Docker, and CI/CD.
Required Skills:
- Strong Python programming skills.
- 3+ years of GenAI/Agentic AI experience.
- RAG and LLM orchestration.
- LangChain / LangGraph / LlamaIndex / AutoGen / CrewAI / Semantic Kernel.
- MCP and A2A knowledge.
- Cloud, APIs, Docker, and CI/CD experience.
Preferred Experience:
Hands-on experience building and deploying production-ready AI solutions.
Python (Gen AI or Agentic AI) - Hyderabad
7 + years of exp with more than 2 + years on Gen AI/Agentic AI.
Design and implement Generative AI and Agentic AI capabilities using LLM platforms and frameworks such as LangChain, LangGraph, Google ADK, Semantic Kernel, or equivalent.
Implement tool calling, RAG, memory, planning, reasoning, multi-agent orchestration, structured outputs, and human approval controls.
Integrate applications with REST APIs, relational and NoSQL databases, vector stores, message queues, and enterprise systems.
We are currently hiring for the position of Python – GenAI / Agentic AI Engineer for one of our esteemed clients.
Please find the opportunity details below:
Position: Python – GenAI / Agentic AI Engineer
Location: Hyderabad
Experience: 7+ Years
GenAI / Agentic AI Experience: 2+ Years
Work Mode: Hybrid
Job Description
We are looking for an experienced Python professional with strong hands-on expertise in Generative AI / Agentic AI and LLM-based application development.
Core Mandatory Skills
- Python
- Generative AI / GenAI
- Agentic AI
- LLM
- LangChain / LangGraph
- Google ADK / Semantic Kernel / Equivalent Agent Frameworks
- RAG
- Tool Calling
- Memory, Planning & Reasoning
- Multi-Agent Orchestration
- Structured Outputs
- Human-in-the-Loop / Human Approval Controls
- REST APIs
- Relational & NoSQL Databases
- Vector Stores / Vector Databases
- Message Queues
- Enterprise System Integration
Key Responsibilities
- Design and implement Generative AI and Agentic AI capabilities using LLM platforms and frameworks.
- Build AI agents using LangChain, LangGraph, Google ADK, Semantic Kernel, or equivalent frameworks.
- Implement tool calling, RAG, memory, planning, reasoning, and multi-agent orchestration.
- Develop structured AI workflows with human approval controls.
- Integrate AI applications with REST APIs, databases, vector stores, message queues, and enterprise systems.
- Develop scalable and production-ready Python-based AI applications.
We are currently hiring for the position of Python – GenAI / Agentic AI Engineer for one of our esteemed clients.
Please find the opportunity details below:
Position: Python – GenAI / Agentic AI Engineer
Location: Hyderabad
Experience: 7+ Years
GenAI / Agentic AI Experience: 2+ Years
Work Mode: Hybrid
Job Description
We are looking for an experienced Python professional with strong hands-on expertise in Generative AI / Agentic AI and LLM-based application development.
Core Mandatory Skills
- Python
- Generative AI / GenAI
- Agentic AI
- LLM
- LangChain / LangGraph
- Google ADK / Semantic Kernel / Equivalent Agent Frameworks
- RAG
- Tool Calling
- Memory, Planning & Reasoning
- Multi-Agent Orchestration
- Structured Outputs
- Human-in-the-Loop / Human Approval Controls
- REST APIs
- Relational & NoSQL Databases
- Vector Stores / Vector Databases
- Message Queues
- Enterprise System Integration
Key Responsibilities
- Design and implement Generative AI and Agentic AI capabilities using LLM platforms and frameworks.
- Build AI agents using LangChain, LangGraph, Google ADK, Semantic Kernel, or equivalent frameworks.
- Implement tool calling, RAG, memory, planning, reasoning, and multi-agent orchestration.
- Develop structured AI workflows with human approval controls.
- Integrate AI applications with REST APIs, databases, vector stores, message queues, and enterprise systems.
- Develop scalable and production-ready Python-based AI applications.
🚀 WE’RE HIRING | AI/ML GENERATIVE AI ENGINEER
📍 Location: Remote
💼 Experience: 5+ Years
🔄 Position: Contract – Extendable
🔹 ROLE HIGHLIGHTS
➤ Build and deploy AI/ML amp; Generative AI solutions
➤ Develop LLM, RAG, NLP, Recommendation amp; Predictive solutions
➤ Work on AI Agents, Chatbots, Computer Vision amp; Content Intelligence
➤ Build ML models using PyTorch, TensorFlow, Keras amp; Scikit-learn
➤ Develop RAG solutions using LangChain, LlamaIndex, FAISS/Milvus
➤ Integrate OpenAI, Azure OpenAI, AWS Bedrock, Vertex AI amp; Hugging Face
➤ Build scalable AI APIs using Python, FastAPI/Flask/Django
➤ Contribute to Private AI amp; Smart Agentic Systems
⚙️ MUST-HAVE SKILLS
◆ Python – 3+ years
◆ AI/ML – 5+ years
◆ Generative AI – 2+ years
◆ LLMs, RAG, Embeddings , Transformers
◆ ML/DL, NLP amp; Predictive Analytics
◆ Cloud AI Platforms – Azure / AWS / GCP
◆ AI/ML Deployment | MLOps
Interview Process - F2F Round at Pune Location
About LeadSquared
LeadSquared is a leading sales execution and marketing automation platform trusted by 2,000+ businesses globally, including healthcare, education, financial services, and real estate. Headquartered in Bengaluru with offices across the US, UK, UAE, and Southeast Asia, we empower sales teams to close faster, smarter, and at scale.
Our AI team is at the forefront of integrating cutting-edge large language model capabilities into enterprise workflows — building intelligent agents, copilots, and automation systems that redefine how businesses operate.
Role Overview
We are looking for a Senior AI Engineer with hands-on experience building LLM-powered agents and agentic AI systems. You will design, develop, and deploy autonomous AI pipelines that solve complex, multi-step business problems — from lead qualification and follow-up automation to intelligent CRM workflows and beyond.
This role is ideal for someone who is deeply excited about the frontier of AI, can move fast, and wants their work to directly impact millions of sales professionals worldwide.
Key Responsibilities
•
Design and build LLM-powered agentic systems using frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI to automate complex, multi-step workflows.
•
Develop and maintain Retrieval-Augmented Generation (RAG) pipelines with vector databases (Pinecone, Weaviate, Chroma, pgvector) for domain-specific knowledge grounding.
•
Build and integrate tool-use and function-calling capabilities into AI agents, enabling dynamic interaction with internal APIs, databases, and third-party services.
•
Implement prompt engineering strategies including chain-of-thought, few-shot prompting, and structured output parsing to ensure reliable agent behavior.
•
Design evaluation frameworks and observability pipelines (LangSmith, Helicone, custom metrics) to monitor agent performance, accuracy, and cost.
•
Collaborate with product, sales, and domain teams to translate business requirements into AI-driven solutions and features.
•
Optimize LLM inference for latency and cost using techniques like caching, model distillation, quantization, and batching.
•
Stay current with the rapidly evolving LLM ecosystem and proactively propose improvements and new approaches.
•
Contribute to internal best practices, documentation, and knowledge-sharing across the engineering org.
Required Qualifications
Experience
•
2–4 years of professional software engineering experience, with at least 1–2 years focused on LLM/AI systems.
•
Proven experience shipping LLM-based products or agentic AI systems into production environments.
Technical Skills
•
Strong proficiency in Python and familiarity with async programming patterns for AI pipelines.
•
Hands-on experience with LLM APIs: OpenAI (GPT-4o), Anthropic (Claude), Google (Gemini), or open-source models (Llama, Mistral).
•
Experience with agentic frameworks: LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, or similar.
•
Solid understanding of RAG architectures, embedding models, and semantic search.
•
Experience with vector databases and similarity search infrastructure.
•
Knowledge of REST APIs, microservices architecture, and containerization (Docker/Kubernetes).
Problem-Solving & Mindset
•
Strong ability to decompose ambiguous, open-ended problems into structured AI system designs.
•
Experience with prompt debugging, LLM evaluation, and iterative refinement workflows.
•
Ability to balance research exploration with engineering pragmatism to ship reliable systems.
Preferred Qualifications
•
Experience with multi-agent orchestration and agent memory systems (short-term and long-term).
•
Familiarity with fine-tuning or RLHF workflows for domain adaptation.
•
Background in NLP, information retrieval, or conversational AI.
•
Prior experience in B2B SaaS or CRM domain is a plus.
•
Contributions to open-source AI/ML projects or published research/blogs.
•
Experience with cloud platforms: AWS, GCP, or Azure — particularly AI/ML services
Role Overview
We are looking for a Python Developer with strong experience in Generative AI and LLM-based applications. The candidate should have hands-on experience building AI solutions using Python, RAG, LangChain/LangGraph, and related GenAI technologies.
Mandatory Skills
Python, GenAI/LLM, RAG, LangChain/LangGraph, Agentic AI, FastAPI, REST API, Vector Database, Prompt Engineering, Microservices
Key Responsibilities
- Develop and maintain applications using Python and modern frameworks.
- Build GenAI/LLM-based applications and solutions.
- Develop RAG pipelines using vector databases.
- Work with LangChain/LangGraph for LLM and agent-based applications.
- Develop and integrate REST APIs using FastAPI.
- Implement Agentic AI workflows and AI-powered features.
- Integrate LLMs with existing applications and microservices.
- Apply prompt engineering techniques to improve AI application performance.
🚀 Hiring: Python GenAI / Agentic AI Engineer
📍 Location: Hyderabad
💼 Experience: 7+ Years
🤖 GenAI / Agentic AI: 2+ Years
Mandatory Skills:
• Strong Python development experience
• Generative AI / Agentic AI
• LLMs & Prompt Engineering
• LangChain / LangGraph
• RAG & Vector Databases
• AI Agents / Multi-Agent Systems
• FastAPI / REST APIs
• LLM Integration
• Microservices & API Architecture
• Git & CI/CD
Looking for candidates with strong hands-on experience in building GenAI/Agentic AI solutions using Python, LLMs, RAG, and AI Agent frameworks.
Design and develop Agentic AI systems using LLMs, tools, memory,
workflows, and MCP.
Build production-grade RAG pipelines, including ingestion, chunking,
embeddings, retrieval, reranking, and evaluation.
Implement context engineering strategies for improving LLM accuracy,
relevance, and reliability.
Develop and integrate MCP-based tools and services for AI agents.
Work with LLMs, SLMs, quantized models, and model optimization
techniques for efficient inference.
Develop scalable backend services and APIs for AI applications.
Design databases and data models supporting AI/agentic applications.
Implement AI observability covering latency, token usage, cost, failures,
quality, and agent/tool execution.
Apply AI governance and responsible AI practices, including security,
access control, data privacy, and auditability.
Optimize AI systems for latency, scalability, cost, and reliability.
Collaborate with engineering and product teams to take AI solutions from
POC to production.
Strong hands-on experience with GenAI, LLMs, and Agentic AI.
Experience building RAG applications.
Strong understanding of Context Engineering and prompt/context
optimization.
Role Overview
We are looking for a hands-on AI/ML Engineer to design, develop, and deploy
production-ready GenAI and Agentic AI applications. The role involves building
intelligent agents, RAG pipelines, AI APIs, backend services, and scalable AI
infrastructure with a strong focus on context engineering, observability,
governance, and model optimisation.
Key Responsibilities
Required Skills
Practical experience with MCP (Model Context Protocol).
Experience with frameworks such as LangChain, LangGraph,
LlamaIndex, or equivalent.
Knowledge of LLM/SLM deployment and quantization techniques.
Strong Python backend development experience.
Experience developing REST APIs using FastAPI/Flask or equivalent.
Strong understanding of SQL/NoSQL databases and database design.
Experience with vector databases such as Qdrant, Pinecone, Weaviate,
ChromaDB, or FAISS.
Understanding of AI observability, evaluation, monitoring, and
governance.
Experience with cloud platforms and production deployment is preferred.
Strong understanding of software engineering principles, Git, testing, and
CI/CD.









