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
Skills Required
- Deep expertise in LLMs: transformer architecture, fine-tuning (LoRA/QLoRA), RLHF, and alignment techniques
- RAG system design: chunking strategy, vector databases (Pinecone, Weaviate, pgvector), embedding models, retrieval, and re-ranking
- Experience with ML experimentation tooling such as MLflow, Weights & Biases, or Vertex AI Experiments
- Proficiency with 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 optimization techniques, and quantization basics (GPTQ, AWQ)
- Experience building and operating model evaluation harnesses, regression tracking, and A/B testing
What the Team is Saying
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Ericsson Compensation & Benefits Highlights
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Healthcare Strength — Healthcare coverage includes employer‑verified medical, dental, and vision plans, along with HSAs/FSAs and EAP/mental‑health support. Wellbeing initiatives are highlighted as part of Life at Ericsson.
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Retirement Support — Retirement programs include a 401(k) with company matching that is employer‑verified, with mentions of match levels varying by time and team and pension support in some regions. This is frequently cited as a solid pillar of the package.
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Parental & Family Support — Paid parental leave is described as competitive in many U.S. postings, with examples up to 16 weeks maternity and 6 weeks parental/adoption at 100% pay. Family‑friendly policies and return‑to‑work support are also called out.
Ericsson Insights
What We Do
Ericsson builds the digital connectivity the world relies on. Our technology underpins the mobile networks, platforms, and systems that billions of people, businesses, and societies depend on every day. We are a global leader in communications technology, delivering mobile network infrastructure, cloud software, and wireless connectivity solutions for service providers and enterprises worldwide. Our networks support connectivity across 180+ countries, helping power everyday communication as well as critical digital services at global scale. Connectivity has evolved far beyond consumer mobile use. Today, nearly 80% of the world’s population accesses the internet via mobile networks, and Ericsson is helping shape what comes next. We are advancing 5G and 5G Advanced, developing network APIs that open connectivity to the global developer ecosystem, and applying automation and AI to make networks more intelligent, efficient, and resilient. Ericsson was the first company to launch live 5G networks on five continents, and our 5G platform is now commercially live in 150+ networks across 60+ countries. We also support more than 36,000 enterprise customers, enabling secure, high-performance connectivity for industries such as manufacturing, aviation, logistics, utilities, and public safety, where reliability and performance are mission critical. Innovation is central to how we work. Ericsson has approximately 28,000 employees in research and development, backed by one of the strongest intellectual property portfolios in the industry with 60,000+ granted patents. Our engineers, researchers, and technologists work across 100+ global R&D sites, helping define how networks evolve and how digital infrastructure is built for the long term. As the world moves toward a mobile-first, AI-powered, and cloud-driven future, connectivity becomes the foundation for digital transformation across every industry. Ericsson is building that foundation, shaping the future of digital connectivity through technology that operates at global scale and supports real-world impact, today and for what comes next.
Why Work With Us
Ericsson is a place for people who want to work on technology that powers everyday life. You’ll contribute to large-scale systems used every day, tackle complex challenges in live environments, and keep developing your skills and career in your own vision.
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