Timing analysis and convergence of large hierarchical design across multiple modes and corners. Tech relevant work experience and specialization in VLSI design.…
Employees are required to have flexibility to work any of our 9-hour shift schedules during our normal business hours of (6am - 10pm IST) or (6pm to 6am IST).…
The ideal candidate is a strong Java backend engineer comfortable working across the full stack, with a platform-ownership mindset - from code to production.…
The role involves working on embedded software development for Wi-Fi 6/7 chipsets, focusing on Upper MAC/Lower MAC, Data and Control Paths, and performance……
We're looking for an experienced Lead Platform Engineer to design, implement, and maintain modern software artifacts, cloud-native infrastructure and deployment……
You will collaborate with cross-functional teams over multiple disciplines with an objective to discover problems that need to be resolved and then find……
ÂEnsure compliance of customer requirements arising out of QFD to deliver the vehicle as per the customer requirements by continuously monitoring design of……
Employees are required to have flexibility to work any of our 9-hour shift schedules during our normal business hours of (6am - 10pm IST) or (6pm to 6am IST).…
Employees are required to have flexibility to work any of our 9-hour shift schedules during our normal business hours of (6am - 10pm IST) or (6pm to 6am IST).…
Proficient communication skills in English (B2 level or higher). You will collaborate closely with executive stakeholders, engineering teams, and business units……
Experience working with DevOps teams and industry standard CI/CD tools including:Jenkins, GitLab, Kubernetes, Docker, Terraform, Ansible, CloudFormation, Chef……
Identify, track, and resolve problems within the AV systems that are required in a large integrated conference. Teams to fix hardware/software issues.…
Note: This is an Individual Contributor role requiring strong hands ‑ on expertise in schematic design, PCB layout, hardware bring ‑ up, and system ‑ level……
In addition to technical leadership, you’ll champion Vibe Coding—our approach to writing clean, collaborative, and joyful code that engineers love to create and……
Position Summary: As a Databricks Technical lead Data Engineer you will play a pivotal role in leading and mentoring data engineering teams architecting and……
As a VP, Salesforce Engineer, you will own the design and delivery of complex, end-to-end solutions on the Salesforce platform - integration orchestration,……
Interfaces with customer engineers to develop or enhance their methodologies when using proFPGA CS product or feedback to our engineering and product management……
In this role, you will be responsible for Hardware System and Hardware Solution design Engineer, trade-off analysis, feasibility studies, Proposal preparation,……
Initiate, Interact with CFT & Lead the design engineers for system integration to realise the required E&E feature with Quality, Cost and Time.…
Monitor system events to ensure health, maximum system availability and service quality. They are translated in our business activity (ESG assessment, reporting……
In this role, you will lead the design of secure-by-design controls for agentic mesh AI environments, establish governance frameworks across multi-account AWS……
Employees are required to have flexibility to work any of our 9-hour shift schedules during our normal business hours of (6am - 10pm IST) or (6pm to 6am IST).…
Role Overview* As a Tech Lead, you will lead the design, development, and integration of intelligent software platforms connecting embedded systems, industrial……
➢ High speed VLSI/SBC/Analog/Digital/RF circuit design according to design rules. ➢ Min. 3 years' hands-on in hardware development cycle, hardware debugging,……
Increase the effectiveness, reliability, availablity and performance of cloud platform technologies by identifying and measuring key indicators, making changes……
Oversee and contribute to the technical & data integration solution from design to code level. At least ONE of Sales Cloud Consultant, Service Cloud Consultant……
Design and implement context architectures for LLM apps and agents: schemas, memory patterns, context assembly, and context window management.
Build and optimize RAG pipelines (chunking, embeddings, hybrid retrieval, re-ranking) and validate quality using repeatable evaluation harnesses.
Develop system prompts, prompt libraries, and structured output patterns; harden solutions against prompt injection and jailbreak attempts.
Implement agentic workflows and tool-use integrations (APIs, function calling, workflow engines) with clear guardrails and observability.
Engineer memory and persistence patterns (session memory, episodic recall, vector memory) appropriate for enterprise privacy and retention needs.
Work with enterprise data and app teams to connect AI solutions to real systems (ERP/SCM/CRM, data lakes/warehouses), ensuring secure access and correct semantics.
Collaborate with delivery leads to break work into stories, estimate effort, and drive day-to-day execution; mentor engineers through reviews and pairing.
Use systematic optimization (prompt/context tuning, retrieval experiments, DSPy-style approaches) to improve reliability, latency, and cost.
What You Bring
AI Engineering Skills
Strong Python skills and ability to ship production services.
Hands-on expertise with RAG: embeddings, vector stores, retrieval strategies, re-ranking, and grounding techniques.
Strong prompt and context engineering: system prompts, structured outputs, tool-use prompting, and context assembly patterns.
Experience building agentic systems with orchestration frameworks (or custom implementations) and designing safe tool integrations.
Awareness of security threats (prompt injection, data exfiltration) and ability to implement practical mitigations and guardrails.
Enterprise Integration Background
Experience integrating AI apps with enterprise services, data sources, and identity (SSO/IAM), including secure network and secrets handling.
Ability to work with structured and unstructured enterprise data; understand governance/lineage enough to avoid incorrect or unsafe data use.
Comfort operating within enterprise SDLC controls: CI/CD, change management, security reviews, and production incident response.
Working knowledge of enterprise workflows and process context so AI solutions map to real operations and decision points.
Tools & Platforms
Python; common LLM/RAG frameworks (LangChain, LlamaIndex, Haystack or equivalent).
Vector databases and search stacks (pgvector, Pinecone, Weaviate, Milvus, Elasticsearch/OpenSearch).
Memory and state management approaches (session stores, vector memory, durable stores) appropriate for privacy and retention constraints.
Evaluation and observability tooling (RAGAS, LangSmith/Phoenix or equivalent) and ability to build custom eval pipelines.
Preferred Qualifications
B.Tech / M.Tech in CS, Engineering, or Linguistics; research background in NLP or information retrieval is a plus.
Published work, open-source contributions, or internal frameworks related to context management or prompt engineering.
Prior consulting or professional services experience — ability to adapt context design to diverse client environments quickly