AI Software Engineer

at Orenda

AI Software Engineer

Orenda

Company

Home

AI Software Engineer

at Orenda

Posted by Orenda Finserv

3 - 5 yrs

₹7L - ₹11L / yr

Ahmedabad

Skills

Python

RESTful APIs

Git

Linux/Unix

Machine Learning (ML)

Model Serving

Vision Models

About the role

We are building AI systems that read, understand and act on real business documents, bank statements, financial reports, policy documents and forms and putting them into production where accuracy and cost both matters.

This is not a research role and it is not a prompt-writing role. You will own features end to end: pick and deploy open-source models, build the pipelines around them, measure whether they actually work on our documents, drive the cost per document down, and keep the whole thing running in production.

You will work closely with the engineering and product teams, and your work will be directly used by business users from day one.

What you will do

Deploy and evaluate open-source models

Select, deploy and benchmark open-source LLMs and vision-language models for specific, narrow use cases not general chat.
Build evaluation sets from real documents and define what "good" means numerically (field-level accuracy, extraction recall, hallucination rate) before shipping.
Run structured comparisons between models and approaches, and write up the trade-offs so the team can make a decision.
Apply quantization, batching and other optimizations to fit models into a sensible GPU budget.

Build and optimize AI orchestration

Design multi-step pipelines that combine deterministic code, ML models and LLM calls and know when not to use an LLM.
Optimize for latency, cost and reliability: caching, batching, request routing, fallback tiers, retries and graceful degradation.
Instrument pipelines so failures are visible and traceable rather than silent.

Ship to production

Package models and services with Docker, expose them behind clean APIs, and deploy them to our GPU and CPU infrastructure.
Handle the unglamorous production concerns: cold starts, timeouts, concurrency limits, versioning, rollback and monitoring.
Own on-call-style responsibility for the AI features you build, including cost tracking.

Must-have skills

Programming & engineering

Strong Python: type hints, async/await, dataclasses/Pydantic, clean module design, testing.
REST API development with FastAPI (or Flask/Django with a willingness to move to FastAPI).
Git, code review discipline, and the ability to write code someone else can maintain.
Comfortable in Linux and on the command line.

Machine learning fundamentals

Working knowledge of PyTorch and the Hugging Face ecosystem (transformers, tokenizers, accelerate).
Understanding of inference-time concepts: tokenization, context windows, batching, precision (FP16/BF16/INT8), memory footprint.
Ability to read a model card and a paper well enough to judge whether a model fits a use case.

Document processing

Hands-on experience with at least two of: pypdfium2, PyMuPDF, pdfplumber, pdfminer.six, Docling, Unstructured, Surya, DocTR, LayoutLM family.
Practical OCR experience (Tesseract, PaddleOCR, or a cloud OCR) and an understanding of when OCR is the wrong tool.
Experience extracting tables from PDFs and dealing with merged cells, multi-line rows, and inconsistent column layouts.

Strongly preferred

You will be a much stronger candidate with any of these. We do not expect all of them.

Model serving & optimization

vLLM, TGI, Ollama, llama.cpp, or Triton Inference Server.
Quantization formats and tooling: GGUF, AWQ, GPTQ, bitsandbytes, ONNX Runtime, INT8 export.
Serverless GPU platforms: Modal, RunPod, Replicate, Baseten including cold-start and container-lifecycle management.
LoRA / QLoRA fine-tuning with PEFT for narrow, task-specific improvements.

Vision-language models

Practical use of open VLMs: Qwen2.5-VL, InternVL, Granite Vision, Molmo, Phi-Vision, or similar.
Awareness of where VLMs hallucinate especially on numeric and financial content and patterns for constraining them (using the model for layout only, sourcing values from the text layer, constrained decoding).

Orchestration & pipelines

Workflow orchestration: Dagster, Airflow, Prefect, or Temporal.
Async job patterns: Celery, RQ, or platform-native spawn/poll patterns.
LLM orchestration frameworks (LangGraph, LlamaIndex, Haystack) with the judgement to know when plain Python is a better answer.
Structured output enforcement: Instructor, Outlines, XGrammar, JSON schema / tool-use modes.

Evaluation & observability

Building golden datasets and regression suites for extraction tasks.
Eval tooling: promptfoo, DeepEval, Ragas, or in-house harnesses.
LLM tracing and monitoring: Langfuse, Arize Phoenix, LangSmith, OpenTelemetry.

Nice extras

Rule engines and policy evaluation (Open Policy Agent / Rego, Drools, rule-engine).
Experience in fintech, lending, insurance or accounting documents.
Handling of PII and data-security practices in document pipelines.
Contributions to open-source ML or document-processing projects.

Why join us

Real production ownership from month one your work goes to actual users, not a demo.
Genuinely hard technical problems in document AI, not wrappers over an API.
Small team, short decision cycles, direct access to leadership.
Budget and freedom to evaluate and adopt new open-source models as they land.

To apply: send your CV along with a short note on one AI system you have taken to production what it did, what the accuracy was, and what broke.

About the role

You will work closely with the engineering and product teams, and your work will be directly used by business users from day one.

What you will do

Deploy and evaluate open-source models

Select, deploy and benchmark open-source LLMs and vision-language models for specific, narrow use cases not general chat.
Build evaluation sets from real documents and define what "good" means numerically (field-level accuracy, extraction recall, hallucination rate) before shipping.
Run structured comparisons between models and approaches, and write up the trade-offs so the team can make a decision.
Apply quantization, batching and other optimizations to fit models into a sensible GPU budget.

Build and optimize AI orchestration

Design multi-step pipelines that combine deterministic code, ML models and LLM calls and know when not to use an LLM.
Optimize for latency, cost and reliability: caching, batching, request routing, fallback tiers, retries and graceful degradation.
Instrument pipelines so failures are visible and traceable rather than silent.

Ship to production

Package models and services with Docker, expose them behind clean APIs, and deploy them to our GPU and CPU infrastructure.
Handle the unglamorous production concerns: cold starts, timeouts, concurrency limits, versioning, rollback and monitoring.
Own on-call-style responsibility for the AI features you build, including cost tracking.

Must-have skills

Programming & engineering

Strong Python: type hints, async/await, dataclasses/Pydantic, clean module design, testing.
REST API development with FastAPI (or Flask/Django with a willingness to move to FastAPI).
Git, code review discipline, and the ability to write code someone else can maintain.
Comfortable in Linux and on the command line.

Machine learning fundamentals

Working knowledge of PyTorch and the Hugging Face ecosystem (transformers, tokenizers, accelerate).
Understanding of inference-time concepts: tokenization, context windows, batching, precision (FP16/BF16/INT8), memory footprint.
Ability to read a model card and a paper well enough to judge whether a model fits a use case.

Document processing

Hands-on experience with at least two of: pypdfium2, PyMuPDF, pdfplumber, pdfminer.six, Docling, Unstructured, Surya, DocTR, LayoutLM family.
Practical OCR experience (Tesseract, PaddleOCR, or a cloud OCR) and an understanding of when OCR is the wrong tool.
Experience extracting tables from PDFs and dealing with merged cells, multi-line rows, and inconsistent column layouts.

Strongly preferred

You will be a much stronger candidate with any of these. We do not expect all of them.

Model serving & optimization

vLLM, TGI, Ollama, llama.cpp, or Triton Inference Server.
Quantization formats and tooling: GGUF, AWQ, GPTQ, bitsandbytes, ONNX Runtime, INT8 export.
Serverless GPU platforms: Modal, RunPod, Replicate, Baseten including cold-start and container-lifecycle management.
LoRA / QLoRA fine-tuning with PEFT for narrow, task-specific improvements.

Vision-language models

Practical use of open VLMs: Qwen2.5-VL, InternVL, Granite Vision, Molmo, Phi-Vision, or similar.
Awareness of where VLMs hallucinate especially on numeric and financial content and patterns for constraining them (using the model for layout only, sourcing values from the text layer, constrained decoding).

Orchestration & pipelines

Workflow orchestration: Dagster, Airflow, Prefect, or Temporal.
Async job patterns: Celery, RQ, or platform-native spawn/poll patterns.
LLM orchestration frameworks (LangGraph, LlamaIndex, Haystack) with the judgement to know when plain Python is a better answer.
Structured output enforcement: Instructor, Outlines, XGrammar, JSON schema / tool-use modes.

Evaluation & observability

Building golden datasets and regression suites for extraction tasks.
Eval tooling: promptfoo, DeepEval, Ragas, or in-house harnesses.
LLM tracing and monitoring: Langfuse, Arize Phoenix, LangSmith, OpenTelemetry.

Nice extras

Rule engines and policy evaluation (Open Policy Agent / Rego, Drools, rule-engine).
Experience in fintech, lending, insurance or accounting documents.
Handling of PII and data-security practices in document pipelines.
Contributions to open-source ML or document-processing projects.

Why join us

Real production ownership from month one your work goes to actual users, not a demo.
Genuinely hard technical problems in document AI, not wrappers over an API.
Small team, short decision cycles, direct access to leadership.
Budget and freedom to evaluate and adopt new open-source models as they land.

To apply: send your CV along with a short note on one AI system you have taken to production what it did, what the accuracy was, and what broke.

Users love Cutshort

Read about what our users have to say about finding their next opportunity on Cutshort.

Shubham Vishwakarma

Full Stack Developer - Averlon

I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.

Companies hiring on Cutshort

About Orenda

Founded :

2017

Type :

Services

Size :

0-20

Stage :

Profitable

About

Orenda

Candid answers by the company

What is the location preference of jobs?

Ahmedabad

Company social profiles

N/A

Similar jobs

Project Engineer

Hunarstreet Technologies pvt ltd

Agency job

via Hunarstreet Technologies Pvt Ltd by Shayada Ali

Mumbai, Navi Mumbai

6 - 15 yrs

₹8L - ₹18L / yr

Project Management

Project planning

BMS

building management

building automation

+2 more

Job Overview:

The BMS Project Manager is responsible for the management of Building Management System projects from design to completion. This role involves overseeing the design, installation, and commissioning and handing over of BMS solutions, ensuring all technical, quality, and safety standards are met. The Project Manager will collaborate with Consultants, PMC, clients, engineers, Internal team and Sub-contractors to ensure timely and cost-effective delivery of BMS systems that meet the required specifications.

Responsibilities:

Execute the BMS projects, including scope definition, project timelines, budgets, and resource allocation.
Coordinate with internal teams, subcontractors, and clients to ensure all project deliverables are met.
Develop detailed project plans, schedules, and work breakdown structures.
Perform risk assessments and develop mitigation strategies.
Manage and lead a team of engineers, technicians, Sub-contractor and other staff involved in the BMS project.
Ensure effective communication and collaboration between project stakeholders, including clients, consultants, and contractors.
Conduct regular team meetings to track progress and resolve issues.
Work closely with design engineers to ensure that the BMS design meets client requirements and industry standards.
Review technical specifications and drawings for the installation of BMS systems.
Oversee the procurement of BMS equipment and materials, ensuring quality, cost-effectiveness, and on-time delivery.
Ensure all required certifications and compliance with regulations for the BMS systems are met.
Monitor the progress of the project to ensure it is on schedule and within budget.
Ensure that all work meets quality standards and industry regulations.
Oversee the commissioning process and troubleshoot issues during system testing.
Maintain regular communication with clients/Consultants, providing updates on project status, milestones, and potential challenges.
Prepare Daily progress reports, including financial summaries, timelines, and project performance.
Address client concerns and provide solutions to any technical or operational issues.
Ensure all safety protocols are followed during the installation and commissioning of BMS systems.
Comply with local and international building codes, regulations, and standards.
Manage the project closeout process, ensuring all deliverables are completed and handed over to the client.
Prepare and review final documentation, including system manuals, warranties, and certificates.
Conduct post-project evaluations to assess performance and identify areas for improvement
Minimum 8 years of experience managing BMS or similar building automation projects.
Proven experience in managing large teams and large-scale projects.
Strong understanding of building systems, HVAC, lighting, energy management, and related technologies.
Experience with BMS platforms (e.g., Johnson Controls, Honeywell, Siemens, Trane etc).
Strong leadership and interpersonal skills.
Excellent communication skills (written and verbal).
Problem-solving abilities and attention to detail.

Ability to handle pressure and meet deadlines

Job Overview:

Responsibilities:

Execute the BMS projects, including scope definition, project timelines, budgets, and resource allocation.
Coordinate with internal teams, subcontractors, and clients to ensure all project deliverables are met.
Develop detailed project plans, schedules, and work breakdown structures.
Perform risk assessments and develop mitigation strategies.
Manage and lead a team of engineers, technicians, Sub-contractor and other staff involved in the BMS project.
Ensure effective communication and collaboration between project stakeholders, including clients, consultants, and contractors.
Conduct regular team meetings to track progress and resolve issues.
Work closely with design engineers to ensure that the BMS design meets client requirements and industry standards.
Review technical specifications and drawings for the installation of BMS systems.
Oversee the procurement of BMS equipment and materials, ensuring quality, cost-effectiveness, and on-time delivery.
Ensure all required certifications and compliance with regulations for the BMS systems are met.
Monitor the progress of the project to ensure it is on schedule and within budget.
Ensure that all work meets quality standards and industry regulations.
Oversee the commissioning process and troubleshoot issues during system testing.
Maintain regular communication with clients/Consultants, providing updates on project status, milestones, and potential challenges.
Prepare Daily progress reports, including financial summaries, timelines, and project performance.
Address client concerns and provide solutions to any technical or operational issues.
Ensure all safety protocols are followed during the installation and commissioning of BMS systems.
Comply with local and international building codes, regulations, and standards.
Manage the project closeout process, ensuring all deliverables are completed and handed over to the client.
Prepare and review final documentation, including system manuals, warranties, and certificates.
Conduct post-project evaluations to assess performance and identify areas for improvement
Minimum 8 years of experience managing BMS or similar building automation projects.
Proven experience in managing large teams and large-scale projects.
Strong understanding of building systems, HVAC, lighting, energy management, and related technologies.
Experience with BMS platforms (e.g., Johnson Controls, Honeywell, Siemens, Trane etc).
Strong leadership and interpersonal skills.
Excellent communication skills (written and verbal).
Problem-solving abilities and attention to detail.

Ability to handle pressure and meet deadlines

Merchandiser and Ecommerce Associate

at The Luxe Maison Consultancy

Posted by TLM Consultancy

Remote only

0 - 1 yrs

₹2L - ₹3L / yr

Electronic commerce

Email Marketing

Effective communication

Key responsibilities:

Communicating with the client and vendors
Creating a relationship with the merchandisers
Managing backend operations on each website and offline store on behalf of the clients
Managing reports and weekly trends in the industry
Onboarding your client's products on as many stores and websites as possible
Coordinating with various departments of the company
Analyzing brand performance on various retail outlets
Product Management:
Assist in product catalog management, including adding new products, and updating product descriptions, images, and prices.
Monitor product availability and stock levels, coordinating with relevant departments to ensure accurate inventory.
Order Fulfillment:Collaborate with the fulfillment team to ensure accurate and timely order processing.
Content Management:
Support the creation and optimization of product listings, ensuring accurate and compelling content.
Assist in maintaining consistent branding and product presentation across the online store.

Key responsibilities:

Communicating with the client and vendors
Creating a relationship with the merchandisers
Managing backend operations on each website and offline store on behalf of the clients
Managing reports and weekly trends in the industry
Onboarding your client's products on as many stores and websites as possible
Coordinating with various departments of the company
Analyzing brand performance on various retail outlets
Product Management:
Assist in product catalog management, including adding new products, and updating product descriptions, images, and prices.
Monitor product availability and stock levels, coordinating with relevant departments to ensure accurate inventory.
Order Fulfillment:Collaborate with the fulfillment team to ensure accurate and timely order processing.
Content Management:
Support the creation and optimization of product listings, ensuring accurate and compelling content.
Assist in maintaining consistent branding and product presentation across the online store.

PMO Manager (Resource & Delivery)

at Vikgol Technologies

Posted by Kaviya Nagaraj

Bengaluru (Bangalore)

2 - 5 yrs

₹11L - ₹16L / yr

Microsoft Windows Azure

About the Role

The PMO Manager You will oversee resource allocation, financial project controlling, and overall delivery management. Your goal is to ensure the right people are on the right projects at the right time, ensuring that budgets are respected and delivery timelines are met.

Key Responsibilities

Resource Orchestration: Manage workload, vacation planning, and project assignments for the entire team.
Project Controlling: Monitor project budgets and delivery milestones to ensure financial health.
Agile Integration: Attend daily Scrums to gain real-time transparency into team capacity and roadblocks.
Dynamic Re-allocation: Quickly shift resources between projects based on shifting priorities and daily insights.
Skill Management: Track team skillsets, identify "skill gaps," and plan for training or new staffing needs.
Strategic Oversight: Participate in Steering Committee (SteerCo) meetings to report on delivery status.

Requires Technical Skills

Project Management Tools: Strong proficiency in Azure DevOps, Jira, or similar task-tracking platforms.
Reporting & Analysis: Advanced skills in MS Excel (for budgeting/controlling) and MS Project.
Communication Suite: Mastery of MS Teams, PowerPoint, and Word for stakeholder reporting.
D365 Exposure: Familiarity with Dynamics CRM environments is highly preferred to understand the project landscape.

Qualification & Preferred

Education: Degree in IT, Business, Engineering, or equivalent professional training.
Experience: Proven track record in a PMO role is mandatory. Must have experience in project controlling and process optimization.
Good to Have: Professional project management
Process Knowledge: Deep understanding of the Project Life Cycle (PLC) and Software Development Life Cycle (SDLC).

About the Role

Key Responsibilities

Resource Orchestration: Manage workload, vacation planning, and project assignments for the entire team.
Project Controlling: Monitor project budgets and delivery milestones to ensure financial health.
Agile Integration: Attend daily Scrums to gain real-time transparency into team capacity and roadblocks.
Dynamic Re-allocation: Quickly shift resources between projects based on shifting priorities and daily insights.
Skill Management: Track team skillsets, identify "skill gaps," and plan for training or new staffing needs.
Strategic Oversight: Participate in Steering Committee (SteerCo) meetings to report on delivery status.

Requires Technical Skills

Project Management Tools: Strong proficiency in Azure DevOps, Jira, or similar task-tracking platforms.
Reporting & Analysis: Advanced skills in MS Excel (for budgeting/controlling) and MS Project.
Communication Suite: Mastery of MS Teams, PowerPoint, and Word for stakeholder reporting.
D365 Exposure: Familiarity with Dynamics CRM environments is highly preferred to understand the project landscape.

Qualification & Preferred

Education: Degree in IT, Business, Engineering, or equivalent professional training.
Experience: Proven track record in a PMO role is mandatory. Must have experience in project controlling and process optimization.
Good to Have: Professional project management
Process Knowledge: Deep understanding of the Project Life Cycle (PLC) and Software Development Life Cycle (SDLC).

Engineering Manager, Top Fintech company tier 1 college only

at Talent Pro

Posted by Mayank choudhary

Bengaluru (Bangalore)

8 - 12 yrs

₹55L - ₹77L / yr

Javascript

React.js

Strong Engineering Manager / Lead Profiles

Mandatory (Experience 1) - Must have 8+ years of overall Software Engineering/Development experience

Mandatory (Experience 2) - Must have 3+ years of experience as Engineering Manager / Team Lead role, with ownership of technical direction, delivery, and people management

Mandatory (Experience 3) - Must have hands-on Backend development experience using Python or Java, with frameworks such as FastAPI / Django / Spring / Express (Node.js)

Mandatory (Experience 4) - Must have Frontend development exposure using ReactJS, JavaScript, HTML, CSS

Mandatory (Experience 5) - Must have experience designing and building APIs, services, and integrations, including system design, PR reviews, and architectural decision-making.

Mandatory (Experience 6) - Must have experience leading engineers end-to-end – mentoring, code reviews, execution planning, and improving team productivity/quality

Mandatory (Company) - Must be from Product Companies / Startups (early to growth stage), B2B SaaS + Fintech industry is highly preferred

Mandatory (Note) - This role will be 80% team management and 20% IC (hands on coding required)

Preferred

Preferred (Education) - Tier 1 engineering college