
Role Summary
We are seeking a skilled GenAI & Agentic AI Engineer with strong experience in building end‑to‑end AI/ML solutions, Generative AI applications, and agent‑based automation workflows. The ideal candidate will have a solid background in machine learning along with hands‑on expertise in LLMs, RAG, embeddings, vector databases, and Agentic AI frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents.
Key Responsibilities
- Build and deploy GenAI applications using LLMs (OpenAI, Azure OpenAI, Claude, Gemini, Llama, etc.).
- Develop Agentic AI workflows using frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents.
- Design and implement RAG pipelines, vector search solutions, and embedding‑based retrieval systems.
- Build scalable AI services using Python, FastAPI/Flask, and cloud platforms (Azure/AWS/GCP).
- Collaborate with cross‑functional teams to define use cases and convert them into production‑ready GenAI solutions.
- Implement hallucination reduction, prompt‑engineering strategies, and model evaluation methods.
- Integrate LLMs with enterprise applications, APIs, and automation workflows.
- Work with vector databases (FAISS, Pinecone, Chroma, Weaviate) for semantic search.
- Monitor, evaluate, and optimize GenAI models for accuracy, performance, and cost.
Required Skills & Experience
- 5+ years of experience in AI/ML, including model development, data preprocessing, EDA, training, and evaluation.
- 2+ years of hands‑on experience in Generative AI (LLMs, embeddings, RAG, LLM‑based apps).
- 6+ months of hands‑on experience with Agentic AI frameworks (CrewAI / AutoGen / LangGraph / LangChain Agents).
- Strong proficiency in Python and ML libraries (Scikit‑learn, Pandas, NumPy).
- Experience with OpenAI APIs, Azure OpenAI, HuggingFace, and prompt engineering.
- Familiarity with building scalable APIs using FastAPI, Flask, or Django.
- Hands‑on knowledge of cloud services (Azure/AWS/GCP) for AI deployment.
- Strong understanding of REST APIs, microservices, and integration patterns.
- Experience with Git, CI/CD, Docker, and model deployment best practices.

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Location : Orissa ( Remote) / Bengaluru ( Onsite )
As an Enterprise Sales Manager , you will be responsible for driving revenue growth by identifying, pursuing, and closing enterprise-level deals with key clients. This role requires a strategic thinker with a proven track record of exceeding sales targets, a deep understanding of the supply chain domain, and the ability to build strong relationships with C-level executives.
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- Identifying and categorizing different companies/sectors according to their supply chain operations.understand their supply chain and how our products can help them. forecasting of deals and utilize CRM tools to track, report on sales activities, ensuring a transparent and organized approach to deal management. development, and customer success teams to ensure a cohesive and integrated approach to client engagement. with key decision-makers, influencers, and stakeholders at enterprise-level accounts. management. to effectively position our SaaS solutions.
About the job
Role : Enterprise Sales Manager
Location : Orissa ( Remote) / Bengaluru ( Onsite )
As an Enterprise Sales Manager , you will be responsible for driving revenue growth by identifying, pursuing, and closing enterprise-level deals with key clients. This role requires a strategic thinker with a proven track record of exceeding sales targets, a deep understanding of the supply chain domain, and the ability to build strong relationships with C-level executives.
Responsibilities
Identifying and categorizing different companies/sectors according to their supply chain operations.
Identify the correct decision-makers in the companies and set up a meeting to understand their supply chain and how our products can help them.
Do the end-to-end solution design for the clients based on your discussions. Pipeline Management - Manage the sales pipeline, ensuring timely and accurate forecasting of deals and utilize CRM tools to track, report on sales activities, ensuring transparent and organized approach to deal management.
Collaboration with Cross-functional Teams - Collaborate with marketing, product development, and customer success teams to ensure a cohesive and integrated approach to client engagement.
Negotiate with the required stakeholders and close the deal.
Client Engagement and Relationship Building - Build and maintain strong relationships with key decision-makers, influencers, and stakeholders at enterprise-level accounts.
Deliver growth targets across geographies, customer segments, and products.
Provide accurate and timely sales reports, forecasts, and market feedback to senior management.
Stay up-to-date with industry trends, competitive landscape, and market developments to effectively position our SaaS solutions.
Hiring Requirement – Enterprise Sales (SaaS)
Profile Type
3-7+ Years of Experience (Preferably minimum 02 years in sales)
Pure SaaS Sales candidates only
Must have handled long sales cycles (7-8 months)
Experience in end-to-end sales (prospecting → closure)
Roles like Account Executive / Enterprise Sales preferred
Strictly reject presales or account management only profiles
Should be comfortable with travelling
Avoid inside sales
Logistics / Supply Chain experience is a plus
Deal Size & Revenue Exposure
Must have closed deals of 25 Lakhs ARR or more per deal
Should have managed multiple such deals
Overall experience of handling 1 Cr+ ARR revenue
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● Strong understanding of Equity and Debt Capital Markets, mutual funds, insurance, and structured investment solutions.
● Familiarity with global markets and international investment products will be an added advantage.
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About the Role
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Location: Madurai
Experience: 12+ Years
Notice Period: Immediate
About TechMango
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