Hybrid
Full-Time
Hyderabad, Telangana
India
Skills
Amazon Web Services (AWS)
Artificial Intelligence (AI)
Python (Programming Language)
SQL
Large Language Models (LLM)
LangChain
Retrieval-Augmented Generation (RAG)
Machine Learning
Scikit-Learn
Databases
Amazon S3
Data Science
Generative AI
About the Role
Job Title: Senior AI/ML Engineer – Generative AI
Location: Ahmedabad / Hyderabad
Experience: 5+ Years in Data Science (2+ Years in Generative AI)
Availability: Early Joiners Preferred
About the Role
We are seeking a passionate and innovative Senior AI/ML Engineer to lead and deliver cutting-edge Generative AI solutions and Agentic AI systems. This role demands strong expertise in AI/ML, with a focus on GenAI applications, LangChain framework, and agent-based architectures for autonomous AI workflows.
Key Responsibilities
Design, build, and deploy Generative AI solutions for enterprise and consumer-grade applications.
Apply Agentic AI frameworks to enable autonomous decision-making and intelligent task execution.
Develop LangChain-based applications leveraging LLMs for dynamic data querying, tool integration, and agent behavior orchestration.
Implement advanced ML and deep learning models for use cases like video analysis, object tracking, and recognition.
Take ownership of end-to-end AI pipelines – from experimentation to production deployment.
Design and optimize AI workflows using self-learning and AutoML capabilities.
Deploy and monitor scalable ML models using AWS ML services (Bedrock, SageMaker, Lambda, OpenSearch, etc.).
Research and stay up-to-date with GenAI advancements, including foundation models (LLMs, Diffusion Models), prompt engineering techniques, retrieval-augmented generation (RAG), and multi-modal AI.
Contribute to technical documentation, POCs, and stakeholder presentations to communicate insights and model impact.
Required Skills & Experience
✔ 5+ years in AI/ML development, with 2+ years hands-on in Generative AI projects.
✔ Strong experience in LangChain, LLMs, and Agentic AI models (e.g., AutoGPT, BabyAGI, CrewAI, or custom agents).
✔ Expertise in Python, SQL, and ML libraries such as TensorFlow, PyTorch, scikit-learn, Keras, XGBoost, spaCy, NLTK.
✔ Proven track record of developing GenAI use cases, POCs, and production-ready systems.
✔ Familiarity with prompt engineering, RAG pipelines, vector databases (e.g., FAISS, Pinecone), and embedding models.
✔ Strong cloud experience, especially with AWS ML services – SageMaker, Bedrock, Lambda, S3, OpenSearch.
✔ Understanding of ML techniques including: Supervised, Unsupervised, Deep Learning
✔ Experience optimizing data pipelines, ML model training, and inference latency.
✔ Excellent communication, problem-solving, and stakeholder management abilities.
Education
BE/B.Tech, M.Tech, MCA, or MS in Computer Science, Artificial Intelligence, Data Science, or related field.
Location: Ahmedabad / Hyderabad
Experience: 5+ Years in Data Science (2+ Years in Generative AI)
Availability: Early Joiners Preferred
About the Role
We are seeking a passionate and innovative Senior AI/ML Engineer to lead and deliver cutting-edge Generative AI solutions and Agentic AI systems. This role demands strong expertise in AI/ML, with a focus on GenAI applications, LangChain framework, and agent-based architectures for autonomous AI workflows.
Key Responsibilities
Design, build, and deploy Generative AI solutions for enterprise and consumer-grade applications.
Apply Agentic AI frameworks to enable autonomous decision-making and intelligent task execution.
Develop LangChain-based applications leveraging LLMs for dynamic data querying, tool integration, and agent behavior orchestration.
Implement advanced ML and deep learning models for use cases like video analysis, object tracking, and recognition.
Take ownership of end-to-end AI pipelines – from experimentation to production deployment.
Design and optimize AI workflows using self-learning and AutoML capabilities.
Deploy and monitor scalable ML models using AWS ML services (Bedrock, SageMaker, Lambda, OpenSearch, etc.).
Research and stay up-to-date with GenAI advancements, including foundation models (LLMs, Diffusion Models), prompt engineering techniques, retrieval-augmented generation (RAG), and multi-modal AI.
Contribute to technical documentation, POCs, and stakeholder presentations to communicate insights and model impact.
Required Skills & Experience
✔ 5+ years in AI/ML development, with 2+ years hands-on in Generative AI projects.
✔ Strong experience in LangChain, LLMs, and Agentic AI models (e.g., AutoGPT, BabyAGI, CrewAI, or custom agents).
✔ Expertise in Python, SQL, and ML libraries such as TensorFlow, PyTorch, scikit-learn, Keras, XGBoost, spaCy, NLTK.
✔ Proven track record of developing GenAI use cases, POCs, and production-ready systems.
✔ Familiarity with prompt engineering, RAG pipelines, vector databases (e.g., FAISS, Pinecone), and embedding models.
✔ Strong cloud experience, especially with AWS ML services – SageMaker, Bedrock, Lambda, S3, OpenSearch.
✔ Understanding of ML techniques including: Supervised, Unsupervised, Deep Learning
✔ Experience optimizing data pipelines, ML model training, and inference latency.
✔ Excellent communication, problem-solving, and stakeholder management abilities.
Education
BE/B.Tech, M.Tech, MCA, or MS in Computer Science, Artificial Intelligence, Data Science, or related field.