11+ Semantics Jobs in Delhi, NCR and Gurgaon | Semantics Job openings in Delhi, NCR and Gurgaon

AuxoAI is seeking a Senior Applied Scientist to design and deploy structured knowledge systems that enable reliable, schema-grounded AI and agent reasoning.

This role sits at the intersection of large language models, knowledge graphs, semantic architectures, and hybrid retrieval systems. The ideal candidate will build systems that transform unstructured data into structured knowledge representations, enforce semantic constraints, and enable hybrid symbolic–neural reasoning in production environments.

You will play a key role in designing scalable semantic infrastructures that support advanced AI use cases such as GraphRAG pipelines, structured extraction, and agent reasoning workflows.

You will work on problems where existing architectures may not be sufficient and will experiment with new approaches that combine machine learning, knowledge graphs, semantic constraints, and classical AI techniques to build reliable, production-grade systems.

Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)

Responsibilities:

• Design schema-guided information extraction systems using zero-shot and few-shot structured prompting, constrained decoding approaches such as JSON schema enforcement or grammar-based decoding, and function-calling or tool-driven extraction techniques.
• Develop recursive or multi-stage extraction pipelines capable of handling nested entities, hierarchical structures, and cross-document relationships.
• Build ontology-driven systems using frameworks such as LinkML, OWL, SHACL, or similar schema modeling tools, and implement knowledge representations using RDF triples or labeled property graphs.
• Design and optimize entity resolution algorithms using techniques such as blocking strategies, embedding similarity, and rule-based matching.
• Develop ontology alignment techniques and graph embedding models such as Node2Vec or TransE-style approaches where appropriate.
• Design hybrid retrieval architectures combining dense vector retrieval, sparse retrieval techniques, and graph traversal algorithms such as BFS, DFS, path ranking, and neighborhood expansion.
• Build validation systems that enforce schema conformance, detect semantic inconsistencies, and reduce hallucinated or invalid structured outputs.
• Integrate structured knowledge systems into GraphRAG pipelines, agent planning frameworks, and tool-selection workflows.
• Deliver production-grade semantic systems with clear targets for latency, scalability, reliability, and data integrity.

Requirements

• 5+ years of experience building production AI or machine learning systems.
• Strong experience designing and implementing knowledge graphs or ontology-driven architectures.
• Hands-on experience implementing structured extraction techniques, including grammar-constrained decoding, JSON schema enforcement, or AST-style parsing approaches.
• Experience building entity resolution systems beyond simple embedding similarity methods.
• Experience working with graph query languages such as SPARQL or Cypher and optimizing graph query performance.
• Familiarity with RDF, OWL, or property graph data models and semantic data architectures.
• Strong Python engineering skills, with emphasis on data validation, schema integrity, and system reliability.
• Experience designing hybrid symbolic and neural AI systems.

Nice to Have:

• Experience implementing graph algorithms such as PageRank, community detection, or shortest-path algorithms for reasoning chains.
• Experience building graph-enhanced retrieval systems such as GraphRAG.
• Experience designing compositional semantic extraction pipelines.
• Experience implementing reasoning engines or rule-based inference systems.
• Experience benchmarking and evaluating structural extraction accuracy and consistency.

Role Overview:

We are looking for a skilled Golang Developer with 3.5+ years of experience in building scalable backend services and deploying cloud-native applications using AWS. This is a key position that requires a deep understanding of Golang and cloud infrastructure to help us build robust solutions for global clients.

Key Responsibilities:

• Design and develop backend services, APIs, and microservices using Golang.
• Build and deploy cloud-native applications on AWS using services like Lambda, EC2, S3, RDS, and more.
• Optimize application performance, scalability, and reliability.
• Collaborate closely with frontend, DevOps, and product teams.
• Write clean, maintainable code and participate in code reviews.
• Implement best practices in security, performance, and cloud architecture.
• Contribute to CI/CD pipelines and automated deployment processes.
• Debug and resolve technical issues across the stack.

Required Skills & Qualifications:

• 3.5+ years of hands-on experience with Golang development.
• Strong experience with AWS services such as EC2, Lambda, S3, RDS, DynamoDB, CloudWatch, etc.
• Proficient in developing and consuming RESTful APIs.
• Familiar with Docker, Kubernetes or AWS ECS for container orchestration.
• Experience with Infrastructure as Code (Terraform, CloudFormation) is a plus.
• Good understanding of microservices architecture and distributed systems.
• Experience with monitoring tools like Prometheus, Grafana, or ELK Stack.
• Familiarity with Git, CI/CD pipelines, and agile workflows.
• Strong problem-solving, debugging, and communication skills.

Nice to Have:

• Experience with serverless applications and architecture (AWS Lambda, API Gateway, etc.)
• Exposure to NoSQL databases like DynamoDB or MongoDB.
• Contributions to open-source Golang projects or an active GitHub portfolio.

We are looking for a Technical Lead - GenAI with a strong foundation in Python, Data Analytics, Data Science or Data Engineering, system design, and practical experience in building and deploying Agentic Generative AI systems. The ideal candidate is passionate about solving complex problems using LLMs, understands the architecture of modern AI agent frameworks like LangChain/LangGraph, and can deliver scalable, cloud-native back-end services with a GenAI focus.

Key Responsibilities :

- Design and implement robust, scalable back-end systems for GenAI agent-based platforms.

- Work closely with AI researchers and front-end teams to integrate LLMs and agentic workflows into production services.

- Develop and maintain services using Python (FastAPI/Django/Flask), with best practices in modularity and performance.

- Leverage and extend frameworks like LangChain, LangGraph, and similar to orchestrate tool-augmented AI agents.

- Design and deploy systems in Azure Cloud, including usage of serverless functions, Kubernetes, and scalable data services.

- Build and maintain event-driven / streaming architectures using Kafka, Event Hubs, or other messaging frameworks.

- Implement inter-service communication using gRPC and REST.

- Contribute to architectural discussions, especially around distributed systems, data flow, and fault tolerance.

Required Skills & Qualifications :

- Strong hands-on back-end development experience in Python along with Data Analytics or Data Science.

- Strong track record on platforms like LeetCode or in real-world algorithmic/system problem-solving.

- Deep knowledge of at least one Python web framework (e.g., FastAPI, Flask, Django).

- Solid understanding of LangChain, LangGraph, or equivalent LLM agent orchestration tools.

- 2+ years of hands-on experience in Generative AI systems and LLM-based platforms.

- Proven experience with system architecture, distributed systems, and microservices.

- Strong familiarity with Any Cloud infrastructure and deployment practices.

- Should know about any Data Engineering or Analytics expertise (Preferred) e.g. Azure Data Factory, Snowflake, Databricks, ETL tools Talend, Informatica or Power BI, Tableau, Data modelling, Datawarehouse development.

Project Management KRAsProject Management KRAs

Job Description (Major KRAs) –

1) Planning- Understand/Work/Create/Assist :

a. SMO Tracker

2) Team & Vendor Management: Individual Contribution, Buddy Coaching, Participate inRecruitment/Induction, KRA setting and Performance Evaluation:

a. Work Allocation Based on Activity Charter & SMO Tracker

b. Primary & Secondary Work related ownership to ensure business continuity as a part of risk mitigation

c. Setting up KRAs (using InnoWET) and Performance review

d. Time sheet Management & Analysis

e. Social Media Participation and updated Profile

3) Campaign Deliverables : Timely Plan, Manage, Monitor and Communicate :

a. SMO and Activity Charter specific Content & Creative work packs and stacks for clients ( weekly to monthly )

b. BTL- Onetime & Frequent list

c. ATL Excel Sheet

4) Review & Analytics:

a. Client’s success PPT and Report with executive summary

b. Team Productivity based on Time Sheets

c. Power of 5 /Activity Charter Conformance Report

d. Search Engine Marketing /Paid Campaigns Report and Plan of Action

e. Consolidated success Report /PPT for internal stakeholders

5) CRM/Account Management:

a. Presales Support for New Business Development

b. Participation & representation of Digitally Next in PR centric activities , forum and Seminars as and when required.

c. Initiate and Manage Key Account Management for cross selling opportunities to present clients

d. To be a think tank to the management by providing the required Market Intelligence and Business Intelligence related to IoT/Digital/Social Media.

6) Project Management Tools & Automation:

a. Updating and Managing Knowledge Management repository

b. Effective implementation and use of social media Tools(if any)

c. Keeping and custodian of Clients and BFGs usernames and passwords list

d. Creating and upkeep of Process Manual with SLAs

e. Building and updating templates according to work functions

What you need to have:

We are looking for individuals with a love for frontend, and building products with a great user experience. The ideal candidate is someone who has a collaborative process and is comfortable with ambiguity. You will be the earliest members of the product engineering team, and will have an opportunity to define the culture. If you enjoy the zero-to-one process, this is for you.

What you’ll do

• Be part of a team building a web and mobile web app from grounds up
• Drive frontend development for our product.
• Work fast, carefully evaluate the technical tradeoffs of every decision
• Collaborate with design and product on user experience and interface
• Build responsive & re-usable UI components using ReactJS
• Maintain code and write unit tests to ensure the product is of the highest quality

Knowledge, Skills & Abilities

• Strong proficiency in developing with Javascript/ReactJS/AngualrJS
• Strong command of HTML5 and CSS
• Comfortable collaborating with designers and translating designs into high-quality code
• Familiarity with REST APIs
• Familiarity with Git for version control
• Strong communication skills - verbal and written

Minimum Qualifications

A degree in computer science, software engineering, information technology or related fields or relevant experience to demonstrate your abilities and aptitude

2+ years of experience in developing consumer or SaaS web apps or websites

Good to Have

Experience in building real-time frontend and backend data sync applications

Demonstrated an interest for UX and UI

Experience with: AWS, Shopify

As technical lead, you will be responsible for complete product development including 

1. Identification of technology
2. Shaping engineering practices
3. Hiring engineering team
4. Shaping up the product