Urgent opening for Sr. AI Engineer

PHP AI Developer

We are seeking a highly skilled PHP AI Developer with experience in building intelligent web applications, AI-powered automation solutions, and scalable enterprise systems. The ideal candidate should have strong expertise in PHP (Laravel), MySQL, JavaScript, REST APIs, AI integrations (OpenAI/Gemini/LLMs), and workflow automation, along with hands-on experience in developing AI-driven products and business applications. This role offers Permanent Work From Home.

Key Responsibilities

• Design, develop, and maintain scalable PHP/Laravel applications integrated with AI capabilities.
• Build AI-powered modules such as chatbots, document processing systems, recommendation engines, and workflow automation tools.
• Integrate Large Language Models (LLMs) like OpenAI, Gemini, Claude, or similar AI services into web applications.
• Develop and optimize REST APIs and third-party integrations.
• Implement AI features including text generation, summarization, classification, semantic search, and conversational interfaces.
• Optimize application performance, scalability, and security.
• Collaborate with product, design, and business teams to deliver AI-enabled solutions.
• Conduct code reviews and mentor junior developers.
• Stay updated with emerging AI technologies and recommend innovative improvements.

Required Skills & Qualifications

• Strong expertise in PHP (Laravel, Core PHP).
• Proficiency in MySQL, PostgreSQL, and MongoDB.
• Experience with AI APIs and LLM integrations (OpenAI, Gemini, Anthropic, Azure OpenAI, etc.).
• Knowledge of Prompt Engineering, RAG (Retrieval-Augmented Generation), Vector Databases, and AI Workflows.
• Experience with REST APIs, Webhooks, and third-party integrations.
• Hands-on experience with Git/GitHub, Docker, CI/CD pipelines.
• Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.
• Minimum 2+ years of software development experience, including AI-powered application development.

Preferred Experience

• Experience developing AI-powered SaaS platforms.
• Knowledge of chatbot development and intelligent automation solutions.
• Experience with vector databases such as Pinecone, Weaviate, ChromaDB, or FAISS.
• Exposure to enterprise-scale applications and high-traffic systems.
• Experience in ERP, CRM, EdTech, HRMS, or workflow management platforms with AI enhancements

Job Title: Agentic AI Intern (Full-Stack)

Location: Borivali, Mumbai (Onsite)

Position Type: Summer Internship

Job Overview

We are seeking a highly motivated and technically proficient Agentic AI Intern with a strong foundation in full-stack development. In this role, you will work at the intersection of modern web development and cutting-edge Artificial Intelligence, designing autonomous AI agents and integrating AI capabilities into robust applications. The ideal candidate is adaptable, language-agnostic, and eager to leverage modern AI tools to accelerate development velocity.

Key Responsibilities

• AI Agent Development: Assist in designing, building, and deploying autonomous AI agents and workflows.
• Full-Stack Development: Support backend architecture design and frontend interface development across various modern stacks.
• API & Tool Integration: Connect external LLM APIs and manage database configurations.
• Workflow Automation: Actively integrate modern AI-assisted development tools (such as Cursor, Windsurf, or GitHub Copilot) into your daily coding workflow.
• Technical Collaboration: Collaborate with the technical team to build prototypes and maintain clean, documented code.

Technical Requirements

• Backend Ecosystems: Solid foundational knowledge in backend development, with a primary preference for Python or Node.js.
• Frontend Frameworks: Competency in building modern user interfaces (experience with React, Next.js, or similar frontend technologies).
• Adaptability & Emerging Tech: High adaptability and a strong willingness or curiosity to work with high-performance ecosystems like Go, Rust, or other modern stacks as project demands evolve.
• AI Tooling & APIs: Familiarity with utilizing AI APIs and developing within modern AI-first IDEs.

Eligibility & Location Criteria

• Education: Open to current final-year students (looking for a Summer Internship) and recent graduates in CS, IT, or related engineering disciplines.
• Geographic Requirement: Candidates must reside along the Western Line within a 25km radius of Borivali to ensure a sustainable daily onsite commute.
• Competencies: A strong problem-solving mindset, a self-driven approach to learning new technologies quickly, and clear technical communication skills.

Job Title: MERN Full Stack Developer (2+ Years Experience)

Location: Borivali

Experience Required: 2+ Years

Employment Type: Full-time

---

Job Summary

We are looking for a skilled MERN Full Stack Developer with 2+ years of hands-on experience in building scalable web applications using the MERN stack. The ideal candidate should also have practical exposure to AI tools and integrations, and be comfortable working in a fast-paced, product-driven environment.

---

Primary Skills (Mandatory)

• Strong experience in MongoDB, Express.js, React.js, Node.js
• Proficiency in JavaScript (ES6+)
• Experience building RESTful APIs
• Frontend development using React (Hooks, Context API)
• Backend development using Node.js and Express
• Database design and optimization using MongoDB
• Version control using Git

---

AI Tools & Integration Experience (Required)

• Experience working with AI tools such as ChatGPT/OpenAI APIs or similar AI platforms
• Integrating AI APIs into web applications
• Basic understanding of prompt engineering
• Experience using AI for automation, content generation, data processing, or workflow optimization
• Familiarity with vector databases or embeddings (good to have)

---

Key Responsibilities

• Develop and maintain full-stack web applications using MERN stack
• Design and develop scalable REST APIs
• Integrate third-party services and AI-based tools into applications
• Optimize applications for performance and scalability
• Collaborate with UI/UX designers and product teams
• Write clean, maintainable, and well-documented code
• Participate in code reviews and debugging

---

Good to Have

• Experience with TypeScript
• Knowledge of cloud platforms (AWS, Azure, or GCP)
• Understanding of CI/CD pipelines
• Experience with Docker
• Basic understanding of microservices architecture

---

Candidate Profile

• 2+ years of relevant experience in full-stack development
• Strong problem-solving and logical thinking skills
• Ability to work independently and in a team
• Good communication skills

---

Job Types: Full-time, Permanent

Work Location: In person

Apply: https://processity.ai/careers/fullstack-ai-engineer

BigMantra is a Vertical Autonomous AI Agent Builder — we build AI companies that go a mile deep into specific industries. Our products include Mantra Spaces (AI-powered UK HMO property management) and Verity Law (AI-powered legal conveyancing). Our team is small, our stack is modern, and your code ships to production the same week you write it.

We're looking for a Fullstack AI Applied Engineer who can build full applications end-to-end and wire AI agents into production systems that real users depend on.

WHAT YOU'LL DO

• Build and ship full-stack web applications using React / Next.js and Python / Node.js

• Design and implement AI agent workflows using LangChain, LangGraph, Claude Agent SDK, Agno, or similar

• Integrate agents with real-world APIs — Salesforce, Google Workspace, WhatsApp Business, email providers

• Build and optimize database layers — production SQL, schema design, RAG pipelines

• Own deployment and infrastructure — Docker services, CI/CD pipelines on AWS or Azure

• Write tests that matter — E2E, load tests, performance benchmarks

• Collaborate directly with the founding team on architecture and product direction

MUST HAVE

• 3+ years of professional software engineering experience

• Strong JavaScript / TypeScript — React, Next.js, Node.js in production

• Strong Python — backends, agent systems, data pipelines

• Hands-on experience with at least one AI agent framework (LangChain, LangGraph, Claude Agent SDK, Agno, or equivalent)

• Docker services for containerization and deployment

• CI/CD pipelines — GitHub Actions, GitLab CI, or similar

• Deployment experience on AWS or Azure

• Solid SQL and database skills — schema design, query optimization

GOOD TO HAVE

• Experience with autonomous agents — MCP (Model Context Protocol), skills, plugins, tool-use

• Memory and context management for long-running agents

• Prompt engineering and optimization

COMPENSATION & BENEFITS

• ₹30L – 50L per annum (based on experience)

• Equity / ESOPs — early-stage participation

• Remote-friendly — Coimbatore office available

• Learning budget — courses, conferences, AI tooling subscriptions

• Flexible hours — output over seat time

ROLE: Ai ML Senior Developer

Exp: 5 to 8 Years

Location: Bangalore (Onsite)

About ProductNova

ProductNova is a fast-growing product development organization that partners with

ambitious companies to build, modernize, and scale high-impact digital products. Our teams

of product leaders, engineers, AI specialists, and growth experts work at the intersection of

strategy, technology, and execution to help organizations create differentiated product

portfolios and accelerate business outcomes.

Founded in early 2023, ProductNova has successfully designed, built, and launched 20+

large-scale, AI-powered products and platforms across industries. We specialize in solving

complex business problems through thoughtful product design, robust engineering, and

responsible use of AI.

Product Development

We design and build user-centric, scalable, AI-native B2B SaaS products that are deeply

aligned with business goals and long-term value creation.

Our end-to-end product development approach covers the full lifecycle:

1. Product discovery and problem definition

2. User research and product strategy

3. Experience design and rapid prototyping

4. AI-enabled engineering, testing, and platform architecture

5. Product launch, adoption, and continuous improvement

From early concepts to market-ready solutions, we focus on building products that are

resilient, scalable, and ready for real-world adoption. Post-launch, we work closely with

customers to iterate based on user feedback and expand products across new use cases,

customer segments, and markets.

Growth & Scale

For early-stage companies and startups, we act as product partners—shaping ideas into

viable products, identifying target customers, achieving product-market fit, and supporting

go-to-market execution, iteration, and scale.

For established organizations, we help unlock the next phase of growth by identifying

opportunities to modernize and scale existing products, enter new geographies, and build

entirely new product lines. Our teams enable innovation through AI, platform re-

architecture, and portfolio expansion to support sustained business growth.

Role Overview:

We are seeking an experienced AI / ML Senior Developer with strong hands-on expertise in large language models (LLMs) and AI-driven application development. The ideal candidate will have practical experience working with GPT and Anthropic models, building and training B2B products powered by AI, and leveraging AI-assisted development tools to deliver scalable and intelligent solutions.

Key Responsibilities:

1. Model Analysis & Optimization

Analyze, customize, and optimize GPT and Anthropic-based models to ensure reliability, scalability, and performance for real-world business use cases.

2. AI Product Design & Development

Design and build AI-powered products, including model training, fine-tuning, evaluation, and performance optimization across development lifecycles.

3. Prompt Engineering & Response Quality

Develop and refine prompt engineering strategies to improve model accuracy, consistency, relevance, and contextual understanding.

4. AI Service Integration

Build, integrate, and deploy AI services into applications using modern development practices, APIs, and scalable architectures.

5. AI-Assisted Development Productivity

Leverage AI-enabled coding tools such as Cursor and GitHub Copilot to accelerate development, improve code quality, and enhance efficiency.

6. Cross-Functional Collaboration

Work closely with product, business, and engineering teams to translate business requirements into effective AI-driven solutions.

7. Model Monitoring & Continuous Improvement

Monitor model performance, analyze outputs, and iteratively improve accuracy, safety, and overall system effectiveness.

Qualifications:

1. Hands-on experience analyzing, developing, fine-tuning, and optimizing GPT and Anthropic-based large language models.

2. Strong expertise in prompt design, experimentation, and optimization to enhance response accuracy and reliability.

3. Proven experience building, training, and deploying chatbots or conversational AI systems.

4. Practical experience using AI-assisted coding tools such as Cursor or GitHub Copilot in production environments.

5. Solid programming experience in Python, with strong problem-solving and development fundamentals.

6. Experience working with embeddings, similarity search, and vector databases for retrieval-augmented generation (RAG).

7. Knowledge of MLOps practices, including model deployment, versioning, monitoring, and lifecycle management.

8. Experience with cloud environments such as Azure, AWS for deploying and managing AI solutions.

9. Experience with APIs, microservices architecture, and system integration for scalable AI applications.

Why Join Us

• Build cutting-edge AI-powered B2B SaaS products

• Own architecture and technology decisions end-to-end

• Work with highly skilled ML and Full Stack teams

• Be part of a fast-growing, innovation-driven product organization

If you are a results-driven AiML Senior Developer with a passion for developing innovative products that drive business growth, we invite you to join our dynamic team at ProductNova.

We’re building the future of AI-powered sales enablement.

PitchSense AI is a flagship product within our portfolio of AI-driven Sales and Marketing solutions.

We blend conversational intelligence, generative AI, and behavioural analytics to help people master persuasion through real-time AI simulations.

Why PitchSense AI

Working here means joining a small, fast-moving team that lives at the frontier of applied AI.

You’ll:

• Build in a high-pace, high-learning environment where ideas ship fast.
• Tinker with cutting-edge AI tools, agents, and large language models (LLMs) daily.
• Prototype novel ways to combine speech, emotion, and reasoning into human-like training experiences.
• Learn across multiple domains — engineering, design, analytics, and product.
• Work directly with the founding team on problems no one has solved before.

This is not routine work — it’s an opportunity to shape entirely new experiences in human-AI interaction while growing faster than you ever have before.

Stack: Next.js · TypeScript · NestJS · Prisma · PostgreSQL · AWS · OpenAI · AISDK · AI Agents · RAG · ElevenLabs

Culture: Ownership · Velocity · Craftsmanship

SDE II

Location: Gurgaon

Experience: 2–4 years | Type: Full-time | Reports to: CTO

Responsibilities

• Architect and scale multi-tenant systems for AI training and analytics.
• Design clean APIs and optimise data models for speed and resilience.
• Mentor junior engineers and uphold engineering best practices.
• Enhance caching, monitoring, and infrastructure reliability on AWS.
• Integrate AI-based code reviews to maintain quality and velocity.

Requirements

• 2–4 years of full-stack or backend experience.
• Expertise in TypeScript, Node.js, PostgreSQL, React/Next.js.
• Comfortable owning modules from design to production.

Bonus

• Experience with AI model integration or speech intelligence.
• Exposure to Prisma ORM, CI/CD, and monitoring tools.

Developer Tools & Workflow

Every engineer and designer at PitchSense AI uses modern, AI-augmented tools to move fast and ship better.

Tools

• Cursor IDE
• Claude Code
• AWS (Lambda, ECS, RDS, S3)
• AI-based Code Reviews
• MagicPath
• Figma AI

Workflow Highlights

• Continuous deployment via GitHub Actions / AWS Pipelines.
• PR preview environments for instant testing.
• AI-driven code review loops for rapid iteration.
• Cross-disciplinary culture - work across frontend, backend, DevOps, and design.

Culture & Perks

• Ownership from day one - every role is founding-level.
• High-performance, meritocratic culture - growth based on impact, not tenure.
• Cross-discipline learning - explore code, design, and infrastructure alike.
• MacBook for work and premium tooling.
• Annual offsite for alignment and collaboration.
• Competitive compensation and ESOPs for core hires.
• Direct mentorship from the CTO and founding team.
• Real impact - reshape how humans learn to sell, speak, and persuade through AI.

Company: AISpire360 Role: Senior Voice AI Engineer (Independent Contractor, Full-Time Engagement) Location: Remote (India-based preferred; must overlap 4–6 hours daily with London + US Eastern) Engagement: Full-time independent contractor — long-term Compensation: Competitive, paid in USD, monthly. Senior staff-level rates.

About AISpire360

We are building the operating system for medical practices in the US. Our flagship product is ARIA, an AI receptionist that handles inbound and outbound calls, intake, scheduling, eligibility, prior authorization workflows, and after-hours coverage for medical practices. We are in active production deployment with our first practice — a spine surgery practice at the Hospital for Special Surgery in New York. Multiple specialty practices are in our deployment pipeline.

The platform is built to be specialty-agnostic. The voice agent stack is the universal foundation. Knowledge layers (spine surgery, primary care, behavioral health, dermatology, cardiology, pediatrics, etc.) plug in as configuration. One platform, many specialties.

We are venture-backed, founder-led, and shipping. The technical decisions you make here will be in production within weeks.

What You'll Own

You are the technical anchor for the voice agent. You will be responsible for:

Real-time voice system

• Voice agent stack on ElevenLabs Conversational AI (and evaluation of Retell, Vapi, LiveKit alternatives as we scale)
• STT and TTS configuration, voice tuning, language and accent handling
• Turn-taking, barge-in, end-of-speech detection, latency budgets
• Driving end-to-end voice latency below 700ms (we currently target 600ms)
• Quality vs. cost tradeoffs across voice tier selection (Premium / Turbo / Standard)
• Silence-detection optimization for outbound calls (95% silence-discount realization)

HIPAA + PHI infrastructure

• BAA-compliant hosting architecture (AWS-based, BAA in place)
• PHI detection and redaction pipeline (AWS Comprehend Medical + custom pre-filters)
• Encryption in transit and at rest, audit logging, 7-year retention compliance
• Access controls, RBAC, kill-switch infrastructure
• HIPAA Security Rule compliance for technical safeguards

Agent orchestration and tools

• LLM integration (GPT-4o, Claude Sonnet, with model routing for cost optimization)
• Tool calling for scheduling, eligibility checks, prior auth lookups, calendar booking, task creation
• Multi-turn conversation state management
• Multi-topic call handling and structured task generation
• Safety-critical keyword detection and escalation routing

Integrations

• EHR integration (Epic, Athena, eClinicalWorks — at least one in V1)
• Insurance eligibility APIs (Availity, Change Healthcare, payer-specific)
• Calendar integration (Google Calendar, Microsoft 365, Cal.com)
• SMS and email gateways (Twilio, SendGrid)
• Practice-specific webhooks for task manager surfacing

Multi-tenant platform foundations

• Per-practice configuration loading (specialty profile + practice profile)
• Per-tenant isolation, data segregation
• Specialty-specific intake schemas, triage rules, safety keywords
• Production observability (tracing, metrics, latency monitoring per practice)

Required Experience

You should be able to demonstrate, in a live walkthrough with code in hand, that you have shipped production voice AI systems. Specifically:

• 3+ years of production voice/conversational AI experience. Not chatbots — actual real-time voice agents handling live phone calls. ElevenLabs, Retell, Vapi, LiveKit, OpenAI Realtime, Deepgram, or equivalent.
• Deep familiarity with at least 2 of: ElevenLabs Conversational AI, Retell AI, Vapi, LiveKit Agents, OpenAI Realtime API. Production deployment experience required, not demo experience.
• HIPAA and PHI handling experience in production. Not theoretical. You have signed BAAs, deployed in HIPAA-compliant environments, and built PHI redaction pipelines.
• AWS infrastructure expertise. Specifically: ECS or Fargate, Lambda, S3 with encryption, KMS, CloudWatch, IAM, VPC, BAA-eligible service selection.
• AWS Comprehend Medical or equivalent PHI detection experience.
• Twilio or equivalent telephony provider experience. SIP trunking, inbound/outbound call flows, recording and transcription pipelines.
• Latency optimization in real-time systems. You have hit sub-700ms voice latency in production and can explain the trade-offs you made.
• LLM production experience. GPT-4o, Claude, or equivalent. Prompt engineering, tool calling, structured outputs, model routing for cost.
• Python or TypeScript fluency. Production code, not scripts.
• API integration experience. REST, webhooks, OAuth, async patterns. Bonus if you've integrated with EHRs (Epic FHIR, Athena, eClinicalWorks).

Nice to Have

• Healthcare domain experience (EHRs, clinical workflows, medical terminology)
• Prior auth or eligibility verification workflow experience
• Multi-tenant SaaS architecture experience
• SOC 2 audit experience
• Experience with knowledge graphs (PostgreSQL + pgvector, Neo4j, or similar)
• Open-source contributions to LangChain, LiveKit, Pipecat, or similar voice/agent frameworks
• Demonstrated ability to ship to production fast (not perfectionism — pragmatic engineering)

What This Engagement Looks Like

• Independent contractor. You invoice us monthly. We pay in USD via wire transfer or Wise.
• Full-time engagement. This is your primary work. We expect ~40 hours/week of focused output.
• Long-term. We are not looking for a 3-month engagement. Expect this to run 12+ months.
• You sign a BAA with us. This is non-negotiable due to the nature of the work.
• You are eligible for future equity grants as we formalize the team structure.
• Direct working relationship with our CTO (London-based) and founders (NYC and India).
• Time-zone overlap required: at least 4–6 hours of daily overlap with both London and US Eastern. Indian Standard Time evenings (6 PM IST onward) work well.

How We'll Evaluate You

Our hiring process is fast and substantive. No take-homes. No multi-round bureaucracy.

1. Initial screen (30 min): Background, what you've shipped, compensation expectations, BAA-readiness.
2. Technical deep-dive (90 min): Walk us through a production voice AI system you've shipped. Code in hand. Architecture diagrams. Real production numbers — latency, cost per call, scale. We will ask follow-up questions about specific decisions you made.
3. System design (90 min, live): We give you a design problem — a HIPAA-compliant voice agent for a medical specialty we don't yet support. You design end-to-end on a whiteboard / Excalidraw. We probe trade-offs.
4. Founders + CTO conversation (60 min): Mutual fit. You ask us hard questions. We answer honestly.

Total: 4–5 hours of your time. We'll move from first conversation to offer in 7–10 days for the right candidate.

What We Will NOT Accept

• Take-home assignments produced by other AI tools. We will ask you to walk through code live; if you can't explain decisions you didn't make, the interview ends.
• Resume claims you can't substantiate. We verify employment via EPFO/UAN where applicable.
• "I've done LLM chatbots" experience without production voice agent experience. They are not the same skill.
• Engagement structures that conflict with this being your primary work.

How to Apply

Send a brief message with:

1. A link to a production voice AI system you've shipped (or, if NDA'd, a description of the architecture and your specific contribution).
2. Two or three sentences on why this role fits you specifically — not a generic cover letter.
3. Your current compensation expectation in USD per month.
4. Your earliest start date and current time-zone availability.

We read every message. We respond within 5 business days, including with "no" answers. We don't ghost.

Required Skills & Qualifications

● Strong hands-on experience with LLM frameworks and models, including LangChain,

OpenAI (GPT-4), and LLaMA

● Proven experience in LLM orchestration, workflow management, and multi-agent

system design using frameworks such as LangGraph

● Strong problem-solving skills with the ability to propose end-to-end solutions and

contribute at an architectural/system design level

● Experience building scalable AI-backed backend services using FastAPI and

asynchronous programming patterns

● Solid experience with cloud infrastructure on AWS, including EC2, S3, and Load

Balancers

● Hands-on experience with Docker and containerization for deploying and managing

AI/ML applications

● Good understanding of Transformer-based architectures and how modern LLMs work

internally

● Strong skills in data processing and analysis using NumPy and Pandas

● Experience with data visualization tools such as Matplotlib and Seaborn for analysis

and insights

● Hands-on experience with Retrieval-Augmented Generation (RAG), including

document ingestion, embeddings, and vector search pipelines

● Experience in model optimization and training techniques, including fine-tuning,

LoRA, and QLoRA

Nice to Have / Preferred

● Experience designing and operating production-grade AI systems

● Familiarity with cost optimization, observability, and performance tuning for

LLM-based applications

● Exposure to multi-cloud or large-scale AI platforms

About CoPoint AI

CoPoint AI is a specialized consulting firm focused on transforming businesses through process improvement, data insights, and technology-driven innovation. We leverage AI technologies, Microsoft cloud platforms, and modern web development frameworks to deliver intelligent, scalable solutions that drive measurable impact for our clients. Our team partners across industries to design and deploy solutions that streamline operations, enhance customer experiences, and enable data-driven growth.

Our Vision 

We transform businesses through process improvement and data insights leveraging AI on the Microsoft stack

Our Values

• Be Purposeful: Think Straight, Communicate, Always Do The Right Thing
• In Partnership: With our Team, For our Clients, In our communities. 
• Create Impact: Deliver value-based solution, help Individual achieve their dream, demand profitable growth.

Role Overview

As a Senior Consultant at CoPoint AI, you will drive end-to-end delivery of both AI-enabled data solutions and modern web applications. You will blend technical expertise in AI, Microsoft platforms, and full-stack web development with business insight to architect and implement impactful solutions across client environments.

Key Responsibilities

• Lead design and implementation of end-to-end data, AI, and web application solutions
• Architect and build responsive, user-friendly web interfaces integrated with enterprise data systems
• Develop and optimize secure, scalable APIs and microservices using cloud-native principles
• Implement AI-powered features in web applications using LLMs, Azure OpenAI, and Cognitive Services
• Guide teams in AI-assisted software development lifecycle improvements
• Build frameworks for responsible AI governance and model monitoring
• Comprehensive understanding of the AI solution landscape
• Leadership experience in AI-enabled digital transformation initiatives
• Expertise in AI adoption strategies and change management
• Ability to translate AI capabilities into measurable business value
• Design multi-model architectures combining analytics, AI, and web experiences
• Act as a subject matter expert in Microsoft Azure and modern web frameworks (e.g., React, Angular, .NET Core)
• Manage project work streams and lead cross-functional delivery teams
• Cultivate and manage client relationships, providing strategic and technical guidance
• Identify and propose innovation opportunities through data and digital experiences
•  Mentor junior developers, analysts, and consultants
• Ensure high quality and consistency in solution delivery and user experience

Qualifications

• Deep expertise in Microsoft data technologies (Azure Data Factory, Synapse, Power BI). 
• Proven experience implementing enterprise AI solutions on Azure 
• Advanced knowledge of large language models and their business applications 
• Expertise in AI-enhanced software development methodologies 
• Experience with AI model evaluation, validation, and responsible deployment 
• Proficiency in developing custom AI solutions using Azure OpenAI, Cognitive Services, and ML services 
• Experience integrating AI into existing enterprise applications and data platforms 
• Experience managing client expectations and delivering high-quality solutions 
• Strong technical leadership and problem-solving capabilities 
• Excellent communication and presentation skills 
• Ability to anticipate client needs and propose strategic solutions

What should You expect:

• A culture of continuous learning with certification support.
• Clear career advancement pathways.
• Competitive compensation and benefits.
• Flexible work arrangements.
• A collaborative environment that values innovation and creativity.

Ready to shape the future of enterprise technology? Join our team of Microsoft technology experts and make an impact.

Pattern Agentix (patternagentix.com) is seeking a computational bilogist to assume the role of Lead AI researcher to create advanced multi-agent AI systems leveraging cutting-edge AI research and Retrieval-Augmented Generation (RAG) techniques. The ideal candidate should have a strong academic and research background in AI, demonstrated through published research papers, open-source contributions (e.g., GitHub).

Exposure to bioinformatics or some background in bioinformatics is a compulsory requirement. The candiate will apply computational techniques, mathematical models, and computer science skills to analyze and interpret complex biological data.

Required Skills & Experience

Master’s or Ph.D. in AI, Machine Learning, Computer Science, or a related field with some exposure to bioinformatics. 

Strong AI research background, demonstrated through peer-reviewed publications in top-tier AI/ML conferences or journals (e.g., NeurIPS, ICML, AAAI, CVPR, ACL, etc.).

Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow).

Experience with multi-agent AI systems and their architectural design.

Project Scope

The project involves developing a sophisticated multi-agent system that:

that automates hypothesis generation in biomedical research using large bimedical research data sets..

We are open on compensation models but compensation will be aligned to local norms. We would consider part time or full time.