Ai Engineer Job at NTT DATA (Bangalore)

Ai Engineer

Location

United States

Salary:

Not provided

Influur

Expiration Date

Until further notice

Requirements

What technologies from our stack (Python, Next.js, Node.js) have you worked with, and at what depth?
What's the most complex AI agent you've built (e.g., using OpenAI, Anthropic, or custom orchestration)?
Do you have early or growth stage startup experience?
Are you legally authorized to work in the United States?

Ai Engineer

At myPOS, we're all about helping businesses grow and get paid. We make payments...

Location

Bulgaria , Sofia; Varna

Salary:

Not provided

myPOS

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience)
5+ years of Data or ML Engineering experience, with at least 3 years shipping AI or ML systems to production
Strong Python skills (typed code, async, testing) and solid SQL fluency
Hands-on experience building agentic applications with frameworks such as LangGraph, LlamaIndex, CrewAI, or the Anthropic/OpenAI Agents SDKs — including tool use, memory, and multi-step reasoning patterns
Practical experience with MCP or comparable tool/function-calling protocols
comfortable designing tool schemas and sub-agent boundaries
Experience with RAG architectures, vector stores (e.g. pgvector, Pinecone, Weaviate), and embedding models
Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
Strong DevOps fundamentals: CI/CD (GitHub Actions, Cloud Build, or similar), IaC (Terraform), containerisation (Docker), and orchestration (Kubernetes or serverless equivalents)
Comfortable building and maintaining data pipelines with orchestrators (Airflow/Composer, Dagster) and distributed engines (Spark, BigQuery)

Job Responsibility

Design and build agentic systems: single agents, multi-agent orchestration, and sub-agent patterns for complex workflows (planner/executor, supervisor/worker, hierarchical task decomposition)
Develop MCP (Model Context Protocol) servers and tools that expose internal systems, datasets, and actions to LLM-powered applications in a safe, governed, and reusable way
Implement retrieval systems (RAG, hybrid search, graph-based retrieval) including chunking, embedding, re-ranking, and context-assembly strategies
Build and maintain MLOps automation: CI/CD for models and agents, environment management, artifact handling, and versioning of prompts, models, data, and code
Implement observability for AI systems: tracing, token/latency/cost metrics, quality and drift monitoring, alerting, and incident response
Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
Expose well-modelled, governed datasets and APIs that agents, tools, and downstream consumers can rely on
Ensure secure data handling and compliance with relevant data protection standards and internal policies
Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes

What we offer

Excellent compensation package
25 days annual paid leave (+1 day per year up to 30)
Full 'Luxury' package health insurance including dental care and optical glasses
Meal vouchers of 102.26 EUR per month
Fully covered Multisport card
Fully covered public transport pass for Sofia
Free coffee, snacks and drinks at the office
Annual salary reviews, promotions and performance bonuses
myPOS Academy for upskilling and training
Unlimited access to courses on LinkedIn Learning

Fulltime

Ai Engineer

Join our team as an AI Engineer and play a critical role in developing next-gene...

Location

India , Noida

Salary:

Not provided

AquSag Technologies

Expiration Date

Until further notice

Requirements

3+ years in at least one of the following languages: Python, PHP, GoLang, JAVA, .NET, C++, or C#
Strong experience with developing and deploying AI or machine learning models
Proven ability to write clear documentation and effectively communicate complex concepts, both in writing and verbally
Demonstrated success in training AI systems using real-world datasets
Ability to collaborate remotely and work independently in a distributed team environment
Solid grounding in computer science fundamentals, algorithms, and software engineering best practices
Attention to detail and a passion for building high-impact AI solutions

Job Responsibility

Develop, test, and optimize AI models and intelligent agents for diverse applications
Collaborate with cross-functional teams to identify and implement AI-driven solutions
Contribute to training datasets, algorithm selection, and model evaluation
Apply advanced programming skills in Python, PHP, GoLang, JAVA, .NET, C++, OR C# to build robust, scalable AI systems
Document technical processes and communicate findings through clear written and verbal reports
Continuously monitor AI agent performance to ensure reliability and accuracy
Stay updated on the latest AI advancements and recommend innovative approaches for the customer’s projects

Fulltime

AI Engineer

About the Role: We are a fast-growing technology company leveraging large langua...

Location

India , Bengaluru

Salary:

1500000.00 - 3000000.00 INR / Year

Helpcare AI

Expiration Date

Until further notice

Requirements

3+ years of experience in AI/ML, NLP, or software engineering with a focus on prompt or LLM integration
Strong proficiency in Python and familiarity with LLM client libraries
Hands-on with at least one orchestration framework (LangChain, LlamaIndex, Dify, etc.)
Experience working with vector databases (Pinecone, Weaviate, Qdrant) or embedding services
Solid understanding of prompt-engineering techniques, chain-of-thought, and RAG concepts
Ability to benchmark, profile, and optimize model calls for performance and cost
Excellent written communication for clear documentation and prompt examples

Job Responsibility

Prompt Design & Optimization: Craft and iterate prompt templates for a variety of use cases (summarization, classification, Q&A)
Implement few-shot examples, chain-of-thought techniques, and dynamic parameterization
Benchmark, profile, and refine prompts to balance accuracy, latency, and cost
Workflow & Chain Development: Build multi-step LLM pipelines using frameworks like LangChain, LlamaIndex, or equivalent
Integrate retrieval-augmented generation (RAG) with vector stores and document loaders
Develop agentic workflows that orchestrate API calls, data enrichment, and user interactions
Model Integration & Testing: Integrate with public and private LLM services (e.g., OpenAI, Anthropic, self-hosted models)
Automate performance tests, error-handling routines, and hallucination checks
Monitor usage metrics, implement rate-limits, and optimize token budgets
Collaboration & Documentation: Work closely with backend/frontend engineers to expose LLM endpoints

What we offer

Impactful Projects: Shape core LLM-driven capabilities across diverse applications
Innovative Environment: Work with cutting-edge models, RAG pipelines, and agent frameworks
Growth & Learning: Access to mentorship, training budgets, and conference support

Fulltime

Ai Engineer

A London-based organisation is looking to bring on an AI Engineer to help develo...

Location

United Kingdom , London

Salary:

Not provided

Hunter Bond

Expiration Date

Until further notice

Requirements

Experience working on complex AI systems spanning conversational AI, agentic workflows, and voice applications
Strong focus on production-grade engineering, scalability, and real-time performance
Experience collaborating with cross-functional teams including architecture, security, and data governance
Exposure to modern AI tooling, LLM frameworks, and cloud-native infrastructure
Ability to experiment with emerging AI techniques and influence technical direction

Job Responsibility

Design and implement advanced RAG pipelines with hybrid search, re-ranking, and optimised retrieval strategies
Build and deploy conversational AI agents with robust multi-turn dialogue and contextual memory
Develop end-to-end voice AI systems integrating STT, TTS, and real-time audio processing
Optimise LLM performance through fine-tuning, prompt engineering, and evaluation frameworks
Architect scalable AI infrastructure, including model serving, monitoring, and observability in production environments

Fulltime

Ai Engineer

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Strong proficiency in Python for ML pipelines, model serving, automation, and framework development
Hands-on experience with Apache Spark / PySpark for large-scale data processing, feature engineering, and batch inference
Proven experience building and operating end-to-end ML pipelines (training, validation, packaging, deployment, monitoring)
Experience with config-driven pipelines and reusable ML frameworks
Experience deploying real-time models exposed as REST APIs
Hands-on knowledge of HTTP-based model serving (FastAPI, Flask, custom model servers, etc.)
Strong understanding of low-latency requirements, performance tuning, and scaling real-time inference services
Knowledge of streaming technologies such as Kafka, Pub/Sub, Spark Streaming, Logstash, or similar

Ai Engineer

At Heyra, we build AI systems, workflows and data platforms that are meant to li...

Location

Denmark , Copenhagen

Salary:

Not provided

Life Science Talent

Expiration Date

Until further notice

Requirements

Software development, ML or data engineering, with AI applications running in production
AI and GenAI frameworks, ideally with some MLOps and evals exposure
Building scalable systems in cloud environments like Azure or GCP
Coding with agents such as Claude Code, Codex or Cursor
Stakeholder management and leading delivery end to end

Job Responsibility

Designing and deploying AI solutions across domains like finance, operations and supply chain
Building predictive models, automated workflows and agentic systems
Leading client projects from problem to production
Translating business needs into AI solutions that actually ship
Integrating scalable AI systems through APIs and cloud environments
Mentoring teammates and shaping how Heyra approaches AI

Fulltime

Ai Engineer

We're looking for an AI Engineer who is as comfortable in the code as in the arc...

Location

Denmark , Copenhagen

Salary:

Not provided

Life Science Talent

Expiration Date

Until further notice

Requirements

Software development, ML or data engineering, with AI applications running in production
AI and GenAI frameworks, ideally with some MLOps and evals exposure
Building scalable systems in cloud environments like Azure or GCP
Coding with agents such as Claude Code, Codex or Cursor
Stakeholder management and leading delivery end to end

Job Responsibility

Designing and deploying AI solutions across domains like finance, operations and supply chain
Building predictive models, automated workflows and agentic systems
Leading client projects from problem to production
Translating business needs into AI solutions that actually ship
Integrating scalable AI systems through APIs and cloud environments
Mentoring teammates and shaping how Heyra approaches AI

Fulltime

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