Model and Intelligence Engineer

About this Opportunity:

We are looking for a highly skilled Model and Intelligence Engineer to own the end-to-end development and continuous evolution of our advanced Deep Research Agent. The ideal candidate will be an expert in building robust RAG pipelines (from chunking to re-ranking), optimizing context compression for complex, multi-hop queries, and establishing rigorous evaluation harnesses for model benchmarking. Beyond core engineering, this role requires a strategic thinker who can drive agent self-improvement loops, lead prompt and fine-tuning strategies, and translate frontier AI research into production-ready features for our platform's intelligence roadmap.

Core Responsibilities:

• Own the end-to-end design, development, and continuous improvement of the Deep Research Agent
• Design and maintain the RAG pipeline: chunking strategy, embedding models, retrieval, and re-ranking
• Implement and optimize context compression to reduce overhead on long-horizon, multi-hop queries
• Build and operate the model evaluation harness: benchmark design, regression tracking, and A/B testing
• Lead the agent self-improvement loop: prompt proposal pipeline and benchmark-gated merge governance
• Track frontier model research and assess production applicability for the platform intelligence roadmap
• Advise on fine-tuning, prompt optimization, and model selection strategies across model generations

Core Skills & Experience:

• Deep expertise in LLMs: transformer architecture, fine-tuning (LoRA/QLoRA), RLHF, and alignment techniques
• RAG system design: vector databases (Pinecone, Weaviate, pgvector), embedding models, hybrid search strategies
• ML experimentation tooling: MLflow, Weights & Biases, Vertex AI Experiments, or equivalent platforms
• Python ML stack: PyTorch or JAX, HuggingFace Transformers, LangChain or equivalent orchestration libraries
• Statistical evaluation methods: benchmark design, significance testing, and evaluation dataset curation
• Context compression and KV cache optimisation techniques, quantisation basics (GPTQ, AWQ)

Why join Ericsson?At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
 
What happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.

Primary country and city: India (IN) || Noida

Req ID: 787648