AI/ML Backend Developer (Gen AI,API, Agentic AI & RAG, Python)
Join Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide.
Experience
4–7 yrs
Employment Type
Full-time
Openings
2 positions
Apply By
Nov 6, 2026
Required Skills
Job Description
Hi All,
We have 8 roles to be filled urgently and need your support in fulfilling this roles asap.
Kerlin – Recruiter.
6 roles -SSE :-Hyderdabad
Position: AI/ML Backend Developer (Gen AI,API, Agentic AI & RAG, Python) Experience: 4-7 years Category: Software Development/ Engineering Shift: 12:00 PM-9:00 PM Location: Hyderabad
Employment Type: Full Time
Education Qualification: Bachelors degree in computer science or related field or higher with minimum 3 years of relevant experience.
We are seeking an experienced AI/ML Backend Developer with equal focus on software development to join our dynamic technology team. The ideal candidate will have a strong background in developing and deploying APIs, microservices, Gen AI models, and managing backend systems and integrations. You will play a key role in shaping the future of our technology by integrating cutting-edge AI/ML techniques into scalable backend solutions, including Retrieval-Augmented Generation (RAG) based applications, Agentic workflows using LangGraph, and autonomous Agentic AI systems.
Your future duties and responsibilities • Develop, optimize, and maintain backend services for AI/ML applications. • Design and implement Retrieval-Augmented Generation (RAG) based applications for intelligent data retrieval and response generation. • Implement and deploy Gen AI and embedding models to production environments. • Monitor and improve the performance, reliability, and scalability of existing AI/ML services. • Design and implement robust data pipelines, RAG pipelines, Agentic Solutions using Langgraph, Langchain etc. and data processing workflows. • Identify and solve performance bottlenecks and optimize AI/ML algorithms for production. • Stay current with emerging AI/ML technologies and frameworks to recommend and implement improvements. • Design, build, and orchestrate multi-agent architectures, tool-calling mechanisms, and autonomous agent workflows for complex problem-solving
Required qualifications to be successful in this role Must to have Skills:
Minimum of 4 years of experience developing backend systems, specifically in Gen AI and AI/ML contexts. • Proven hands-on experience designing and deploying Agentic AI systems and multi-agent workflows in production environments. • Deep understanding of agentic concepts, including function calling/tool execution, dynamic task decomposition, multi-agent orchestration (especially using LangGraph), and persistent state management. • Proven experience in deploying machine learning models and RAG-based AI applications in production. • Hands-on experience with vector databases (Pinecone, Weaviate, FAISS) and semantic search implementations. • Proficiency in writing efficient, maintainable, and scalable backend code with Python (essential). • Experience with Backend development frameworks such as FastAPI, Celery, and batches. • Extensive knowledge of GenAI / RAG Frameworks including LangChain, LlamaIndex, and Hugging Face. • Experience working with cloud platforms (AWS, Azure, Google Cloud Platform). • Experience with Containerization and orchestration (Docker, Kubernetes) and deployment. • Experience with Data management and pipeline tools (Apache Kafka, Apache Airflow, Spark). • Experience with SQL databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Cassandra). • Proficiency with Machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. • Familiarity with Version Control (Git) and CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI/CD). • Strong analytical, problem-solving skills, and excellent communication and teamwork abilities. Good-to-Have Skills: • Front end (full stack) development experience. • Experience with APISIX /API gateways. • Identity providers like KeyCloak.
At a Glance
[ Hiring process ]
What to expect
Four stages, typically completed within 2–3 weeks. We respect your time — every stage has a clear purpose and timely feedback.
- STEP 0130 min
Screening Call
Introductory conversation with our talent team to understand your background and motivations.
- STEP 0260–90 min
Technical Round
Live problem-solving with a senior architect on Salesforce design, integrations, or domain depth.
- STEP 0345 min
Culture Fit
Conversation with practice leadership covering working style, ownership, and how you collaborate.
- STEP 04Within 5 days
Offer
Formal offer with full compensation breakdown, start date, and onboarding plan.
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AI/ML Backend Developer (Gen AI,API, Agentic AI & RAG, Python)
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