Connaught Place Delhi Delhi Stack developer python & Jobs – 122 Open Jobs Today

AI Solutions Leads
Acme Services —Noida, Uttar Pradesh
- ₹30,00,000 - ₹35,00,000 a year
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
AI Conversational Chatbot Developer
Benovymed Healthcare —Delhi, Delhi
- Master's degree
- AWS
- Bachelor's degree
AI / ML Engineer
Accenture —Noida, Uttar Pradesh
- Full-time
- Azure
- Master's degree
- AWS
[Software Services] : Full Stack Developer
Vinove —Noida, Uttar Pradesh
- Computer Science
- Master's degree
- Databases
Quick apply
Developer in AWS environment
Thales —Noida, Uttar Pradesh
- Full-time
- Java
- Master's degree
- AWS
Full Stack Developer (React+Next+Python+Fast APi)
KSOLVES —Noida, Uttar Pradesh
- Azure
- AWS
- JavaScript
Fullstack Developer (AODB AND OPERATIONAL SYSTEM)
Source Integreta —Noida, Uttar Pradesh
- From ₹35,000 a month
- Full-time
- Oracle
- Computer Science
- Java
- Cell phone reimbursement
- Flexible schedule
Quick apply
Software Developer II
Aspen Technology —Noida, Uttar Pradesh
- DevOps
- System design
- Databases
Full Stack Developer (React Native, ReactJS, Python)
KSOLVES —Noida, Uttar Pradesh
- JavaScript
- Scripting
- APIs
Software Developer II
myKaarma —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Java
- Master's degree
- Health insurance
- Paid time off
Quick apply
9d
Senior Full Stack Developer-Python+React
Mott MacDonald —Noida, Uttar Pradesh
- Full-time
- Azure
- DevOps
- English
- Health insurance
9d
Technical Manager
Smalsus info labs pvt ltd —Noida, Uttar Pradesh
- ₹7,36,310.15 - ₹20,00,460.44 a year
- Full-time
- Azure
- Computer Science
- PMP
- Health insurance
Quick apply
Senior GenAI Developer — OpenAI
EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Master's degree
Technical Lead, Software Development (PLSQL)
Landis+Gyr —Noida, Uttar Pradesh
- Oracle
- Software troubleshooting
- Java
AI & Agentic Developer
AvyaTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Master's degree
- Databases
Fullstack Developer
Massive Mobility —Noida, Uttar Pradesh
- Full-time
- Azure
- Oracle
- System design
Senior Engineer, Software Development
Landis+Gyr —Noida, Uttar Pradesh
- Azure
- Master's degree
- AWS
AI Agentic Engineer / AI Developer
AvyaTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- ERP systems
- Master's degree
Java Developer
Thales —Noida, Uttar Pradesh
- Full-time
- Java
- Master's degree
- C++
Senior AI/ML Engineer – Conversational AI & Voice Platform (BFSI)
Leadflownex AI Technologies pvt ltd —Indian Habitat Centre, Delhi
- ₹60,000 - ₹90,000 a month
- Hybrid work
- Azure
- Computer Science
- English
Quick apply

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AI Solutions Leads

Acme Services -
Noida, Uttar Pradesh

Quick apply

Job details

Permanent | Full-time
₹30,00,000 - ₹35,00,000 a year

Qualifications

CI/CD
Azure
Law
Computer Science
MCP
Enterprise Software
Master's degree
Databases
AWS
Bachelor's degree
Cloud development
Continuous integration
APIs
Data science
AI
TypeScript
Communication skills
Python

Full job description

Key Responsibilities

1. AI-First Solution Engineering

 Work with stakeholders’ and EXL delivery teams to deeply understand business

workflows, data landscapes, and systems, and translate business problems into technical AI

solution designs.

 Rapidly build AI prototypes, POCs, and pilots, and take them through to production

deployment and enterprise adoption.

 Configure, customize, and extend EXL’s AI platforms and accelerators to fit business-

specific contexts and constraints.

2. Agentic AI & AI Solution Development

 Design and build agentic workflows, advances RAG pipelines, LLM integrations, tool-

using agents, and human-in-the-loop systems.

 Apply prompt engineering, evaluation frameworks, and fine-tuning techniques to

achieve accuracy, reliability, and safety targets.

 Integrate AI solutions with enterprise systems (APIs, data platforms, CRMs, contact center

and core operations systems).

3. Deployment, Integration & Production Ownership

 Own end-to-end deployment: environment setup, CI/CD, LLMOps/MLOps, monitoring,

guardrails, and observability.

 Ensure solutions are secure, compliant, and production-grade, aligned with responsible

AI, privacy, and EXL security standards.

 Troubleshoot live systems and continuously optimize for latency, cost, quality, and scale.

4. Stakeholder Engagement & Value Realization

 Act as a trusted technical advisor to stakeholders; lead demos, workshops, and technical

deep dives.

 Define success metrics and demonstrate measurable outcomes: productivity gains, cost

reduction, risk mitigation, and revenue uplift.

 Capture field feedback and channel it into EXL’s platform and product roadmaps.

5. Collaboration & Knowledge Sharing

 Collaborate closely with platform engineering, data science, and delivery teams across

geographies.

 Create reusable assets, accelerators, playbooks, and documentation from multiple

deployments.

 Mentor engineers and evangelize best practices in applied and agentic AI across

accounts.

Technical & Architecture Expertise (Agentic AI)

 Strong hands-on software engineering skills (Python and/or TypeScript), including APIs,

microservices, and cloud-native development on AWS, Azure, or GCP.

 Practical experience building with agentic AI frameworks such as LangGraph, LangChain,

CrewAI and emerging standards like MCP (Model Context Protocol).

 Deep working knowledge of foundation models and platforms, including OpenAI,

Anthropic Claude, and open-source LLM stacks; strong grasp of RAG, embeddings, and

vector databases.

 Experience with LLMOps/MLOps: evaluation, monitoring, guardrails, versioning, and

cost/performance optimization in production.

 Exposure to multimodal AI technologies (voice, avatar, video) using platforms like

ElevenLabs and HeyGen.

 Fluency with AI-native developer tools such as Cursor, Replit, Claude Code, and related

copilots.

 Ability to design solutions within enterprise-grade architecture, security, and responsible

AI guardrails, balancing scalability, cost, and compliance.

Key Outcomes & Success Metrics

 High POC-to-production conversion and rapid deployment velocity across engagements.

 Tangible business outcomes – productivity, cost, quality, and revenue impact – attributable

to deployed solutions.

 Reusable solution assets and accelerators adopted across multiple accounts, not one-off

builds.

 Strong production reliability, security, and responsible AI compliance posture for

deployed solutions.

 High satisfaction and expansion of EXL’s AI footprint within assigned accounts.

Required Experience & Qualifications

 4–8 years of experience in software engineering, applied AI/ML, or solution engineering,

with 2+ years of hands-on GenAI/LLM development.

 Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or

equivalent practical experience).

 Proven track record of:

o Shipping production GenAI/agentic AI solutions for enterprise functions

o Working directly with business stakeholders in consulting, forward-deployed, or

solution engineering roles

o Delivering measurable business outcomes from AI deployments

 Strong understanding of:

o Agentic AI and LLM architectures, RAG, and evaluation

o Data platforms, cloud, security, and compliance

o Enterprise integration and legacy system modernization

 Willingness to travel and work onsite at business locations as required.

Leadership & Behavioral Expectations

 Owner’s mindset with a strong bias for action and outcome orientation.

 Comfort with ambiguity, rapid iteration, and fast-changing environments.

 Exceptional communication skills – able to translate deep technical work into business value

for executives.

 Collaborative, and AI-first working style across diverse teams.

 Deep commitment to responsible AI and ethical deployment.

Pay: ₹3,000,000.00 - ₹3,500,000.00 per year

Work Location: In person

Quick apply

Refine Your Search

stack developer python & jobs in connaught place delhi delhi

AI Solutions Leads

AI Conversational Chatbot Developer

AI / ML Engineer

[Software Services] : Full Stack Developer

Developer in AWS environment

Full Stack Developer (React+Next+Python+Fast APi)

Fullstack Developer (AODB AND OPERATIONAL SYSTEM)

Software Developer II

Full Stack Developer (React Native, ReactJS, Python)

Software Developer II

Senior Full Stack Developer-Python+React

Technical Manager

Senior GenAI Developer — OpenAI

Technical Lead, Software Development (PLSQL)

AI & Agentic Developer

Fullstack Developer

Senior Engineer, Software Development

AI Agentic Engineer / AI Developer

Java Developer

Senior AI/ML Engineer – Conversational AI & Voice Platform (BFSI)

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