Senior Software Engineer -I (AI/ML)
GeekyAnts is seeking a Senior AI/ML Engineer to lead the architecture and deployment of enterprise-grade AI systems in Bengaluru. The role involves designing RAG pipelines, fine-tuning LLMs, managing cloud infrastructure, and mentoring junior engineers. Candidates must demonstrate deep expertise in Python, PyTorch, LangChain, and modern MLOps tooling. This position focuses on creating scalable, production-ready AI solutions for global clients across various industries.
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Experience
5-7 years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
GeekyAnts is seeking a Senior AI/ML Engineer to lead the architecture and deployment of enterprise-grade AI systems in Bengaluru. The role involves designing RAG pipelines, fine-tuning LLMs, managing cloud infrastructure, and mentoring junior engineers. Candidates must demonstrate deep expertise in Python, PyTorch, LangChain, and modern MLOps tooling. This position focuses on creating scalable, production-ready AI solutions for global clients across various industries.
TAL's take
Solid tier-2 firm offering a well-defined, senior-level AI architecture role with clear responsibilities and technical depth.
The JD is extremely well-structured, providing a clear breakdown of architecture, model development, data engineering, and MLOps responsibilities.
Salaries at GeekyAnts
14.2 LPA average
Based on 31 Grapevine salary entries for GeekyAnts.
Engineering
0 - 2 years | L2
10 LPA average
Range: 6 - 12 LPA
Engineering
2 - 4 years | L2
11 LPA average
Range: 8 - 16 LPA
Engineering
4 - 6 years | Software engineer
8 LPA average
Range: 8 - 8 LPA
Engineering
6 - 8 years
28 LPA average
Range: 22 - 34 LPA
Must haves
- Expert-level Python programming
- Experience with PyTorch, TensorFlow, Hugging Face, LangChain, and LlamaIndex
- Proficiency in MLOps tools like MLflow, KServe, and vLLM
- Deep understanding of data pipelines and databases like pgvector/Milvus
- Experience with Kubernetes, Ray, and cloud AI platforms
- Ability to architect end-to-end AI systems and lead technical decisions
Tools and skills
Nice to have: distributed training, quantization, mixed-precision optimization, model compression, distillation, low-rank adaptation, llm alignment, prompt optimization, evidentlyai, prometheus.
About the company
Established design and development studio with significant global footprint and open-source contributions, but lacks tier-1 product-first status.