JB001870 AI/ML Backend Developer (Gen AI,API, Agentic AI & RAG, Python) Hyderabad · Hybrid

Techila Global; Hyderabad; Ibrido; INR 2.200.000 - 3.400.000; Tempo pieno

Descrizione del lavoro

Techila Global is seeking an AI/ML Backend Developer to build scalable APIs and backend services for Gen AI and RAG based applications. You will work on embedding models, multi-agent workflows, and orchestration using LangGraph.

The role emphasizes production readiness, scalable backends, and integration with LangChain, vector databases, and cloud platforms. Hybrid Hyderabad location with full-time employment.

Competenze

• 4+ years of experience in backend development with Gen AI/ML contexts.
• Hands-on experience deploying agentic AI systems and multi-agent workflows in production.
• Strong knowledge of LangGraph, function calling, and persistent state management.

Mansioni

• Develop, optimize, and maintain backend services for AI/ML applications.
• Design and implement RAG-based data retrieval and generation pipelines.
• Deploy Gen AI models and embeddings to production environments.
• Build scalable data pipelines and multi-agent architectures for complex problems.

Conoscenze

Python

APIs

Backend development

Gen AI

Formazione

Bachelor's degree in computer science

Strumenti

FastAPI

Celery

Kubernetes

Docker

LangGraph

LangChain

Pinecone

Weaviate

FAISS

Apache Kafka

Airflow

Spark

TensorFlow

PyTorch

Descrizione del lavoro

# 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.Apply Now →← All JobsExperience4–7 yrsEmployment TypeFull-timeOpenings2 positionsApply ByNov 6, 2026## Required SkillsAI/ML Backend Developer (Gen AI,API, Agentic AI & RAG, Python)## Job DescriptionHi All,We have 8 roles to be filled urgently and need your support in fulfilling this roles asap.Kerlin – Recruiter.6 roles -SSE :-HyderdabadPosition: AI/ML Backend Developer (Gen AI,API, Agentic AI & RAG, Python)Experience: 4-7 yearsCategory: Software Development/ EngineeringShift: 12:00 PM-9:00 PMLocation: HyderabadEmployment Type: Full TimeEducation 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-solvingRequired qualifications to be successful in this roleMust 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 GlanceWork ModeHybridEmploymentFull-timeExperience4–7 yrsOpenings2LocationHyderabadDeadlineNov 6, 2026Apply for this Role →[ Hiring process ]## What to expectFour stages, typically completed within **2–3 weeks**. We respect your time — every stage has a clear purpose and timely feedback.1. STEP 0130 min ### Screening Call Introductory conversation with our talent team to understand your background and motivations.2. STEP 0260–90 min ### Technical Round Live problem-solving with a senior architect on Salesforce design, integrations, or domain depth.3. STEP 0345 min ### Culture Fit Conversation with practice leadership covering working style, ownership, and how you collaborate.4. STEP 04Within 5 days ### Offer Formal offer with full compensation breakdown, start date, and onboarding plan.Apply